diff --git a/notebook/train-rus.ipynb b/notebook/train-rus.ipynb index a9dd80d..79f9896 100644 --- a/notebook/train-rus.ipynb +++ b/notebook/train-rus.ipynb @@ -1,155 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\numpy\\__init__.py:148: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service\n", - " from . import _distributor_init\n" - ] - }, - { - "ename": "ImportError", - "evalue": "Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m 2\u001b[0m data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD:\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mTugas Akhir\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mCodingan\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mDevelopment\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mApp\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124motebook\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mpreprocessed_data_train_1.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 3\u001b[0m data\u001b[38;5;241m.\u001b[39mhead()\n", - "File \u001b[1;32mc:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\pandas\\__init__.py:16\u001b[0m\n\u001b[0;32m 13\u001b[0m missing_dependencies\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdependency\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m missing_dependencies:\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[0;32m 17\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to import required dependencies:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(missing_dependencies)\n\u001b[0;32m 18\u001b[0m )\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m hard_dependencies, dependency, missing_dependencies\n\u001b[0;32m 21\u001b[0m \u001b[38;5;66;03m# numpy compat\u001b[39;00m\n", - "\u001b[1;31mImportError\u001b[0m: Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "data = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\App\\notebook\\preprocessed_data_train_1.csv')\n", - "data.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['Engineering & IT', 'Service & Support', 'Creative & Design',\n", - " 'Marketing', 'Operations', 'HR', 'Finance & Accounting',\n", - " 'Corporate Strategy & Communications'], dtype=object)" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data['departemen'].unique()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "11446 EM11453 Kota Jakarta Timur Laki-laki 1993-05-08 2023-05-15 \n", - "\n", - " resign_date marriage_stat dependant education absent_90D \\\n", - "11446 2024-10-01 Single 0 D1 5.0 \n", - "\n", - " avg_time_work departemen position income total_komp \\\n", - "11446 9.81 HR Staff 3477585 NaN \n", - "\n", - " job_satisfaction performance_rating churn_status \n", - "11446 3 2 1 " - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "filter = data[data['employee_id'] == 'EM11453']\n", - "filter" - ] - }, { "cell_type": "code", "execution_count": 1, @@ -202,123 +52,123 @@ " \n", " \n", " 0\n", - " EM0001\n", - " Kabupaten Bogor\n", + " EM10510\n", + " Kota Jakarta Utara\n", " Laki-laki\n", - " 1970-09-10\n", - " 2024-01-04\n", - " 2024-10-31\n", + " 1983-09-11\n", + " 2021-02-09\n", + " 2023-06-22\n", " Married\n", - " 2\n", - " S1\n", - " 1.0\n", + " 1\n", + " SLTA\n", + " 9.0\n", " ...\n", - " Short-term\n", - " 5.00\n", - " 3\n", + " Mid-term\n", + " 2.800000\n", " 2\n", - " 2599023.0\n", - " 5\n", - " 1.039609e+06\n", - " 2.0\n", + " 1\n", + " 1418218.0\n", + " 1\n", + " 1.418218e+06\n", + " 2.2\n", " Medium\n", - " 9.329634\n", + " 9.246870\n", " \n", " \n", " 1\n", - " EM0002\n", - " Kota Jakarta Selatan\n", - " Laki-laki\n", - " 1980-12-09\n", - " 2021-01-05\n", - " 2023-04-22\n", + " EM4322\n", + " Kabupaten Bekasi\n", + " Perempuan\n", + " 1987-03-22\n", + " 2022-02-28\n", + " 2023-04-04\n", " Married\n", - " 3\n", + " 1\n", " SLTA\n", - " 11.0\n", + " 0.0\n", " ...\n", " Mid-term\n", - " 2.25\n", - " 4\n", + " 13.000000\n", + " 2\n", " 1\n", - " 1281761.0\n", + " 1060575.0\n", " 1\n", - " 1.281761e+06\n", - " 1.4\n", + " 1.060575e+06\n", + " 1.6\n", " Medium\n", - " 9.815385\n", + " 9.650000\n", " \n", " \n", " 2\n", - " EM0003\n", - " Tangerang\n", + " EM1637\n", + " Kota Jakarta Barat\n", " Laki-laki\n", - " 1987-04-25\n", - " 2022-01-17\n", - " 2024-01-31\n", - " Single\n", - " 0\n", + " 1970-04-27\n", + " 2020-12-23\n", + " 2023-03-25\n", + " Married\n", + " 4\n", " D2\n", - " 3.0\n", + " 4.0\n", " ...\n", " Mid-term\n", - " 6.00\n", + " 5.400000\n", + " 5\n", " 1\n", - " 1\n", - " 4902208.0\n", + " 4885136.0\n", " 3\n", - " 1.634069e+06\n", - " 1.8\n", + " 1.628379e+06\n", + " 1.0\n", " Medium\n", - " 9.646590\n", + " 9.813826\n", " \n", " \n", " 3\n", - " EM0004\n", - " Kepulauan Seribu\n", + " EM14613\n", + " Kota Jakarta Pusat\n", " Laki-laki\n", - " 1975-12-24\n", - " 2022-01-26\n", - " 2024-10-31\n", + " 1988-06-10\n", + " 2022-11-21\n", + " 2024-03-23\n", " Married\n", " 1\n", - " S1\n", - " 1.0\n", + " D3\n", + " 2.0\n", " ...\n", " Mid-term\n", - " 16.50\n", + " 5.333333\n", " 2\n", - " 2\n", - " 3205246.0\n", - " 5\n", - " 1.282098e+06\n", - " 1.6\n", + " 1\n", + " 4602479.0\n", + " 4\n", + " 1.150620e+06\n", + " 2.4\n", " Medium\n", - " 9.536789\n", + " 9.756440\n", " \n", " \n", " 4\n", - " EM0005\n", - " Kota Jakarta Utara\n", - " Laki-laki\n", - " 1987-06-15\n", - " 2022-01-31\n", - " 2023-02-21\n", - " Single\n", - " 0\n", + " EM1084\n", + " Kabupaten Bogor\n", + " Perempuan\n", + " 1977-05-25\n", + " 2021-06-07\n", + " 2023-07-21\n", + " Married\n", + " 3\n", " SLTA\n", - " 1.0\n", + " 0.0\n", " ...\n", " Mid-term\n", - " 6.00\n", + " 25.000000\n", + " 4\n", " 1\n", + " 1066966.0\n", " 1\n", - " 1208627.0\n", - " 1\n", - " 1.208627e+06\n", - " 2.0\n", + " 1.066966e+06\n", + " 2.6\n", " Medium\n", - " 9.131545\n", + " 9.080000\n", " \n", " \n", "\n", @@ -326,47 +176,47 @@ "" ], "text/plain": [ - " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "0 EM0001 Kabupaten Bogor Laki-laki 1970-09-10 2024-01-04 \n", - "1 EM0002 Kota Jakarta Selatan Laki-laki 1980-12-09 2021-01-05 \n", - "2 EM0003 Tangerang Laki-laki 1987-04-25 2022-01-17 \n", - "3 EM0004 Kepulauan Seribu Laki-laki 1975-12-24 2022-01-26 \n", - "4 EM0005 Kota Jakarta Utara Laki-laki 1987-06-15 2022-01-31 \n", + " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", + "0 EM10510 Kota Jakarta Utara Laki-laki 1983-09-11 2021-02-09 \n", + "1 EM4322 Kabupaten Bekasi Perempuan 1987-03-22 2022-02-28 \n", + "2 EM1637 Kota Jakarta Barat Laki-laki 1970-04-27 2020-12-23 \n", + "3 EM14613 Kota Jakarta Pusat Laki-laki 1988-06-10 2022-11-21 \n", + "4 EM1084 Kabupaten Bogor Perempuan 1977-05-25 2021-06-07 \n", "\n", " resign_date marriage_stat dependant education absent_90D ... \\\n", - "0 2024-10-31 Married 2 S1 1.0 ... \n", - "1 2023-04-22 Married 3 SLTA 11.0 ... \n", - "2 2024-01-31 Single 0 D2 3.0 ... \n", - "3 2024-10-31 Married 1 S1 1.0 ... \n", - "4 2023-02-21 Single 0 SLTA 1.0 ... \n", + "0 2023-06-22 Married 1 SLTA 9.0 ... \n", + "1 2023-04-04 Married 1 SLTA 0.0 ... \n", + "2 2023-03-25 Married 4 D2 4.0 ... \n", + "3 2024-03-23 Married 1 D3 2.0 ... \n", + "4 2023-07-21 Married 3 SLTA 0.0 ... \n", "\n", " active_work_category work_stability_score married_dependent_ratio \\\n", - "0 Short-term 5.00 3 \n", - "1 Mid-term 2.25 4 \n", - "2 Mid-term 6.00 1 \n", - "3 Mid-term 16.50 2 \n", - "4 Mid-term 6.00 1 \n", + "0 Mid-term 2.800000 2 \n", + "1 Mid-term 13.000000 2 \n", + "2 Mid-term 5.400000 5 \n", + "3 Mid-term 5.333333 2 \n", + "4 Mid-term 25.000000 4 \n", "\n", " position_score job_income_position_score education_score \\\n", - "0 2 2599023.0 5 \n", - "1 1 1281761.0 1 \n", - "2 1 4902208.0 3 \n", - "3 2 3205246.0 5 \n", - "4 1 1208627.0 1 \n", + "0 1 1418218.0 1 \n", + "1 1 1060575.0 1 \n", + "2 1 4885136.0 3 \n", + "3 1 4602479.0 4 \n", + "4 1 1066966.0 1 \n", "\n", " education_income_ratio weighted_satisfaction_performance \\\n", - "0 1.039609e+06 2.0 \n", - "1 1.281761e+06 1.4 \n", - "2 1.634069e+06 1.8 \n", - "3 1.282098e+06 1.6 \n", - "4 1.208627e+06 2.0 \n", + "0 1.418218e+06 2.2 \n", + "1 1.060575e+06 1.6 \n", + "2 1.628379e+06 1.0 \n", + "3 1.150620e+06 2.4 \n", + "4 1.066966e+06 2.6 \n", "\n", " resign_risk_indicator adjusted_work_time \n", - "0 Medium 9.329634 \n", - "1 Medium 9.815385 \n", - "2 Medium 9.646590 \n", - "3 Medium 9.536789 \n", - "4 Medium 9.131545 \n", + "0 Medium 9.246870 \n", + "1 Medium 9.650000 \n", + "2 Medium 9.813826 \n", + "3 Medium 9.756440 \n", + "4 Medium 9.080000 \n", "\n", "[5 rows x 37 columns]" ] @@ -378,11 +228,30 @@ ], "source": [ "import pandas as pd\n", - "\n", - "df = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\preprocessed_data_train.csv')\n", + "df = pd.read_csv(\"D:/Tugas Akhir/Codingan/Notebook - Playground/preprocessed_data_train_3.csv\")\n", "df.head()" ] }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "13770" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(df)" + ] + }, { "cell_type": "code", "execution_count": 2, @@ -417,12 +286,12 @@ " \n", " 0\n", " 0\n", - " 11494\n", + " 10696\n", " \n", " \n", " 1\n", " 1\n", - " 4044\n", + " 3074\n", " \n", " \n", "\n", @@ -430,8 +299,8 @@ ], "text/plain": [ " churn_status Count\n", - "0 0 11494\n", - "1 1 4044" + "0 0 10696\n", + "1 1 3074" ] }, "execution_count": 2, @@ -499,124 +368,124 @@ " \n", " \n", " \n", - " 13678\n", - " EM13783\n", - " Kota Jakarta Timur\n", + " 12683\n", + " EM12967\n", + " Kota Jakarta Utara\n", " Laki-laki\n", - " 1976-04-03\n", + " 1998-03-13\n", " 2020-05-03\n", + " 2024-07-04\n", + " Single\n", + " 0\n", + " SLTA\n", + " 7.0\n", + " ...\n", + " Long-term\n", + " 6.250000\n", + " 1\n", + " 1\n", + " 1776619.0\n", + " 1\n", + " 1776619.0\n", + " 1.6\n", + " Low\n", + " 9.884603\n", + " \n", + " \n", + " 11885\n", + " EM8515\n", + " Tangerang\n", + " Laki-laki\n", + " 2000-03-31\n", + " 2022-08-23\n", " 2024-10-31\n", - " Married\n", - " 3\n", - " S1\n", + " Single\n", + " 0\n", + " SLTA\n", " 0.0\n", " ...\n", - " Long-term\n", - " 54.000000\n", - " 4\n", - " 2\n", - " 2804022.0\n", - " 5\n", - " 1.121609e+06\n", - " 2.2\n", - " Low\n", - " 9.840000\n", + " Mid-term\n", + " 26.000000\n", + " 1\n", + " 1\n", + " 1104966.0\n", + " 1\n", + " 1104966.0\n", + " 2.6\n", + " Medium\n", + " 9.260000\n", " \n", " \n", - " 13772\n", - " EM13877\n", - " Kota Depok\n", - " Laki-laki\n", - " 1993-11-29\n", + " 13621\n", + " EM9679\n", + " Kota Bekasi\n", + " Perempuan\n", + " 1975-07-01\n", " 2021-12-06\n", " 2024-10-31\n", - " Single\n", - " 0\n", - " S1\n", - " 3.0\n", - " ...\n", - " Mid-term\n", - " 8.750000\n", - " 1\n", - " 2\n", - " 2926778.5\n", - " 5\n", - " 1.170711e+06\n", - " 1.0\n", - " Medium\n", - " 9.401041\n", - " \n", - " \n", - " 11756\n", - " EM11848\n", - " Kabupaten Bogor\n", - " Laki-laki\n", - " 1972-04-17\n", - " 2020-09-30\n", - " 2024-10-31\n", " Married\n", - " 4\n", - " D2\n", - " 3.0\n", - " ...\n", - " Long-term\n", - " 12.250000\n", - " 5\n", - " 1\n", - " 3547243.0\n", - " 3\n", - " 1.182414e+06\n", - " 3.0\n", - " Low\n", - " 9.523518\n", - " \n", - " \n", - " 13464\n", - " EM13569\n", - " Kota Jakarta Pusat\n", - " Laki-laki\n", - " 2000-05-13\n", - " 2023-05-30\n", - " 2024-10-31\n", - " Single\n", - " 0\n", + " 2\n", " S1\n", - " 4.0\n", + " 5.0\n", " ...\n", " Mid-term\n", - " 3.400000\n", - " 1\n", + " 5.833333\n", + " 3\n", " 2\n", - " 3454996.5\n", + " 2519458.0\n", " 5\n", - " 1.381999e+06\n", - " 1.8\n", + " 1007783.2\n", + " 2.0\n", " Medium\n", - " 9.295650\n", + " 9.335163\n", " \n", " \n", - " 6463\n", - " EM6515\n", + " 8399\n", + " EM15269\n", " Kabupaten Bekasi\n", " Laki-laki\n", - " 1972-04-05\n", - " 2024-02-01\n", - " 2024-05-09\n", + " 1988-01-19\n", + " 2022-11-01\n", + " 2024-10-31\n", " Married\n", - " 3\n", - " SLTA\n", - " 10.0\n", + " 2\n", + " S1\n", + " 2.0\n", " ...\n", - " Short-term\n", - " 0.272727\n", - " 4\n", - " 1\n", - " 2525476.0\n", - " 1\n", - " 2.525476e+06\n", - " 1.6\n", + " Mid-term\n", + " 8.000000\n", + " 3\n", + " 2\n", + " 3015150.5\n", + " 5\n", + " 1206060.2\n", + " 1.0\n", " Medium\n", - " 9.265018\n", + " 9.740976\n", + " \n", + " \n", + " 5525\n", + " EM2598\n", + " Tangerang\n", + " Laki-laki\n", + " 1996-03-11\n", + " 2021-06-08\n", + " 2024-10-31\n", + " Single\n", + " 0\n", + " D3\n", + " 4.0\n", + " ...\n", + " Long-term\n", + " 8.200000\n", + " 1\n", + " 1\n", + " 4488998.0\n", + " 4\n", + " 1122249.5\n", + " 1.0\n", + " Low\n", + " 9.120106\n", " \n", " \n", "\n", @@ -625,46 +494,46 @@ ], "text/plain": [ " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "13678 EM13783 Kota Jakarta Timur Laki-laki 1976-04-03 2020-05-03 \n", - "13772 EM13877 Kota Depok Laki-laki 1993-11-29 2021-12-06 \n", - "11756 EM11848 Kabupaten Bogor Laki-laki 1972-04-17 2020-09-30 \n", - "13464 EM13569 Kota Jakarta Pusat Laki-laki 2000-05-13 2023-05-30 \n", - "6463 EM6515 Kabupaten Bekasi Laki-laki 1972-04-05 2024-02-01 \n", + "12683 EM12967 Kota Jakarta Utara Laki-laki 1998-03-13 2020-05-03 \n", + "11885 EM8515 Tangerang Laki-laki 2000-03-31 2022-08-23 \n", + "13621 EM9679 Kota Bekasi Perempuan 1975-07-01 2021-12-06 \n", + "8399 EM15269 Kabupaten Bekasi Laki-laki 1988-01-19 2022-11-01 \n", + "5525 EM2598 Tangerang Laki-laki 1996-03-11 2021-06-08 \n", "\n", " resign_date marriage_stat dependant education absent_90D ... \\\n", - "13678 2024-10-31 Married 3 S1 0.0 ... \n", - "13772 2024-10-31 Single 0 S1 3.0 ... \n", - "11756 2024-10-31 Married 4 D2 3.0 ... \n", - "13464 2024-10-31 Single 0 S1 4.0 ... \n", - "6463 2024-05-09 Married 3 SLTA 10.0 ... \n", + "12683 2024-07-04 Single 0 SLTA 7.0 ... \n", + "11885 2024-10-31 Single 0 SLTA 0.0 ... \n", + "13621 2024-10-31 Married 2 S1 5.0 ... \n", + "8399 2024-10-31 Married 2 S1 2.0 ... \n", + "5525 2024-10-31 Single 0 D3 4.0 ... \n", "\n", " active_work_category work_stability_score married_dependent_ratio \\\n", - "13678 Long-term 54.000000 4 \n", - "13772 Mid-term 8.750000 1 \n", - "11756 Long-term 12.250000 5 \n", - "13464 Mid-term 3.400000 1 \n", - "6463 Short-term 0.272727 4 \n", + "12683 Long-term 6.250000 1 \n", + "11885 Mid-term 26.000000 1 \n", + "13621 Mid-term 5.833333 3 \n", + "8399 Mid-term 8.000000 3 \n", + "5525 Long-term 8.200000 1 \n", "\n", " position_score job_income_position_score education_score \\\n", - "13678 2 2804022.0 5 \n", - "13772 2 2926778.5 5 \n", - "11756 1 3547243.0 3 \n", - "13464 2 3454996.5 5 \n", - "6463 1 2525476.0 1 \n", + "12683 1 1776619.0 1 \n", + "11885 1 1104966.0 1 \n", + "13621 2 2519458.0 5 \n", + "8399 2 3015150.5 5 \n", + "5525 1 4488998.0 4 \n", "\n", " education_income_ratio weighted_satisfaction_performance \\\n", - "13678 1.121609e+06 2.2 \n", - "13772 1.170711e+06 1.0 \n", - "11756 1.182414e+06 3.0 \n", - "13464 1.381999e+06 1.8 \n", - "6463 2.525476e+06 1.6 \n", + "12683 1776619.0 1.6 \n", + "11885 1104966.0 2.6 \n", + "13621 1007783.2 2.0 \n", + "8399 1206060.2 1.0 \n", + "5525 1122249.5 1.0 \n", "\n", " resign_risk_indicator adjusted_work_time \n", - "13678 Low 9.840000 \n", - "13772 Medium 9.401041 \n", - "11756 Low 9.523518 \n", - "13464 Medium 9.295650 \n", - "6463 Medium 9.265018 \n", + "12683 Low 9.884603 \n", + "11885 Medium 9.260000 \n", + "13621 Medium 9.335163 \n", + "8399 Medium 9.740976 \n", + "5525 Low 9.120106 \n", "\n", "[5 rows x 37 columns]" ] @@ -679,14 +548,14 @@ "for index, row in churn_count.iterrows():\n", " churn = row['churn_status'] \n", " count = row['Count']\n", - " if count > 4048:\n", - " filtered_data = df[df['churn_status'] == churn].sample(4048)\n", + " if count > 3074:\n", + " filtered_data = df[df['churn_status'] == churn].sample(3074)\n", " data = pd.concat([data, filtered_data])\n", "\n", "for index, row in churn_count.iterrows():\n", " churn = row['churn_status'] \n", " count = row['Count']\n", - " if count <= 4048:\n", + " if count <= 3074:\n", " filtered_data = df[df['churn_status'] == churn]\n", " data = pd.concat([data, filtered_data])\n", "\n", @@ -712,7 +581,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -761,124 +630,124 @@ " \n", " \n", " \n", - " 13678\n", - " Kota Jakarta Timur\n", - " Laki-laki\n", - " Married\n", - " 3\n", - " S1\n", - " 0.0\n", - " 9.84\n", - " HR\n", - " Junior\n", - " 5608044\n", - " ...\n", - " Long-term\n", - " 54.000000\n", - " 4\n", - " 2\n", - " 2804022.0\n", - " 5\n", - " 1.121609e+06\n", - " 2.2\n", - " Low\n", - " 9.840000\n", - " \n", - " \n", - " 13772\n", - " Kota Depok\n", + " 12683\n", + " Kota Jakarta Utara\n", " Laki-laki\n", " Single\n", " 0\n", - " S1\n", - " 3.0\n", - " 9.41\n", - " Corporate Strategy & Communications\n", - " Junior\n", - " 5853557\n", - " ...\n", - " Mid-term\n", - " 8.750000\n", - " 1\n", - " 2\n", - " 2926778.5\n", - " 5\n", - " 1.170711e+06\n", - " 1.0\n", - " Medium\n", - " 9.401041\n", - " \n", - " \n", - " 11756\n", - " Kabupaten Bogor\n", - " Laki-laki\n", - " Married\n", - " 4\n", - " D2\n", - " 3.0\n", - " 9.53\n", - " Corporate Strategy & Communications\n", + " SLTA\n", + " 7.0\n", + " 9.90\n", + " Creative & Design\n", " Staff\n", - " 3547243\n", + " 1776619\n", " ...\n", " Long-term\n", - " 12.250000\n", - " 5\n", + " 6.250000\n", " 1\n", - " 3547243.0\n", - " 3\n", - " 1.182414e+06\n", - " 3.0\n", + " 1\n", + " 1776619.0\n", + " 1\n", + " 1776619.0\n", + " 1.6\n", " Low\n", - " 9.523518\n", + " 9.884603\n", " \n", " \n", - " 13464\n", - " Kota Jakarta Pusat\n", + " 11885\n", + " Tangerang\n", " Laki-laki\n", " Single\n", " 0\n", - " S1\n", - " 4.0\n", - " 9.32\n", + " SLTA\n", + " 0.0\n", + " 9.26\n", " Operations\n", - " Junior\n", - " 6909993\n", + " Staff\n", + " 1104966\n", " ...\n", " Mid-term\n", - " 3.400000\n", + " 26.000000\n", " 1\n", - " 2\n", - " 3454996.5\n", - " 5\n", - " 1.381999e+06\n", - " 1.8\n", + " 1\n", + " 1104966.0\n", + " 1\n", + " 1104966.0\n", + " 2.6\n", " Medium\n", - " 9.295650\n", + " 9.260000\n", " \n", " \n", - " 6463\n", + " 13621\n", + " Kota Bekasi\n", + " Perempuan\n", + " Married\n", + " 2\n", + " S1\n", + " 5.0\n", + " 9.35\n", + " Engineering & IT\n", + " Junior\n", + " 5038916\n", + " ...\n", + " Mid-term\n", + " 5.833333\n", + " 3\n", + " 2\n", + " 2519458.0\n", + " 5\n", + " 1007783.2\n", + " 2.0\n", + " Medium\n", + " 9.335163\n", + " \n", + " \n", + " 8399\n", " Kabupaten Bekasi\n", " Laki-laki\n", " Married\n", - " 3\n", - " SLTA\n", - " 10.0\n", - " 9.62\n", - " Engineering & IT\n", - " Staff\n", - " 2525476\n", + " 2\n", + " S1\n", + " 2.0\n", + " 9.75\n", + " HR\n", + " Junior\n", + " 6030301\n", " ...\n", - " Short-term\n", - " 0.272727\n", - " 4\n", - " 1\n", - " 2525476.0\n", - " 1\n", - " 2.525476e+06\n", - " 1.6\n", + " Mid-term\n", + " 8.000000\n", + " 3\n", + " 2\n", + " 3015150.5\n", + " 5\n", + " 1206060.2\n", + " 1.0\n", " Medium\n", - " 9.265018\n", + " 9.740976\n", + " \n", + " \n", + " 5525\n", + " Tangerang\n", + " Laki-laki\n", + " Single\n", + " 0\n", + " D3\n", + " 4.0\n", + " 9.13\n", + " Service & Support\n", + " Staff\n", + " 4488998\n", + " ...\n", + " Long-term\n", + " 8.200000\n", + " 1\n", + " 1\n", + " 4488998.0\n", + " 4\n", + " 1122249.5\n", + " 1.0\n", + " Low\n", + " 9.120106\n", " \n", " \n", "\n", @@ -887,58 +756,51 @@ ], "text/plain": [ " domisili jenis_kelamin marriage_stat dependant education \\\n", - "13678 Kota Jakarta Timur Laki-laki Married 3 S1 \n", - "13772 Kota Depok Laki-laki Single 0 S1 \n", - "11756 Kabupaten Bogor Laki-laki Married 4 D2 \n", - "13464 Kota Jakarta Pusat Laki-laki Single 0 S1 \n", - "6463 Kabupaten Bekasi Laki-laki Married 3 SLTA \n", + "12683 Kota Jakarta Utara Laki-laki Single 0 SLTA \n", + "11885 Tangerang Laki-laki Single 0 SLTA \n", + "13621 Kota Bekasi Perempuan Married 2 S1 \n", + "8399 Kabupaten Bekasi Laki-laki Married 2 S1 \n", + "5525 Tangerang Laki-laki Single 0 D3 \n", "\n", - " absent_90D avg_time_work departemen \\\n", - "13678 0.0 9.84 HR \n", - "13772 3.0 9.41 Corporate Strategy & Communications \n", - "11756 3.0 9.53 Corporate Strategy & Communications \n", - "13464 4.0 9.32 Operations \n", - "6463 10.0 9.62 Engineering & IT \n", + " absent_90D avg_time_work departemen position income ... \\\n", + "12683 7.0 9.90 Creative & Design Staff 1776619 ... \n", + "11885 0.0 9.26 Operations Staff 1104966 ... \n", + "13621 5.0 9.35 Engineering & IT Junior 5038916 ... \n", + "8399 2.0 9.75 HR Junior 6030301 ... \n", + "5525 4.0 9.13 Service & Support Staff 4488998 ... \n", "\n", - " position income ... active_work_category work_stability_score \\\n", - "13678 Junior 5608044 ... Long-term 54.000000 \n", - "13772 Junior 5853557 ... Mid-term 8.750000 \n", - "11756 Staff 3547243 ... Long-term 12.250000 \n", - "13464 Junior 6909993 ... Mid-term 3.400000 \n", - "6463 Staff 2525476 ... Short-term 0.272727 \n", + " active_work_category work_stability_score married_dependent_ratio \\\n", + "12683 Long-term 6.250000 1 \n", + "11885 Mid-term 26.000000 1 \n", + "13621 Mid-term 5.833333 3 \n", + "8399 Mid-term 8.000000 3 \n", + "5525 Long-term 8.200000 1 \n", "\n", - " married_dependent_ratio position_score job_income_position_score \\\n", - "13678 4 2 2804022.0 \n", - "13772 1 2 2926778.5 \n", - "11756 5 1 3547243.0 \n", - "13464 1 2 3454996.5 \n", - "6463 4 1 2525476.0 \n", + " position_score job_income_position_score education_score \\\n", + "12683 1 1776619.0 1 \n", + "11885 1 1104966.0 1 \n", + "13621 2 2519458.0 5 \n", + "8399 2 3015150.5 5 \n", + "5525 1 4488998.0 4 \n", "\n", - " education_score education_income_ratio \\\n", - "13678 5 1.121609e+06 \n", - "13772 5 1.170711e+06 \n", - "11756 3 1.182414e+06 \n", - "13464 5 1.381999e+06 \n", - "6463 1 2.525476e+06 \n", + " education_income_ratio weighted_satisfaction_performance \\\n", + "12683 1776619.0 1.6 \n", + "11885 1104966.0 2.6 \n", + "13621 1007783.2 2.0 \n", + "8399 1206060.2 1.0 \n", + "5525 1122249.5 1.0 \n", "\n", - " weighted_satisfaction_performance resign_risk_indicator \\\n", - "13678 2.2 Low \n", - "13772 1.0 Medium \n", - "11756 3.0 Low \n", - "13464 1.8 Medium \n", - "6463 1.6 Medium \n", - "\n", - " adjusted_work_time \n", - "13678 9.840000 \n", - "13772 9.401041 \n", - "11756 9.523518 \n", - "13464 9.295650 \n", - "6463 9.265018 \n", + " resign_risk_indicator adjusted_work_time \n", + "12683 Low 9.884603 \n", + "11885 Medium 9.260000 \n", + "13621 Medium 9.335163 \n", + "8399 Medium 9.740976 \n", + "5525 Low 9.120106 \n", "\n", "[5 rows x 31 columns]" ] }, - "execution_count": 5, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -949,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -958,33 +820,32 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\ttest: 0.9691762\tbest: 0.9691762 (0)\ttotal: 197ms\tremaining: 3m 16s\n", - "200:\ttest: 0.9851730\tbest: 0.9851730 (200)\ttotal: 6.91s\tremaining: 27.5s\n", - "400:\ttest: 0.9857376\tbest: 0.9857407 (389)\ttotal: 14s\tremaining: 20.9s\n", - "600:\ttest: 0.9861924\tbest: 0.9861954 (599)\ttotal: 22.1s\tremaining: 14.7s\n", - "800:\ttest: 0.9865571\tbest: 0.9865571 (800)\ttotal: 30.2s\tremaining: 7.5s\n", - "999:\ttest: 0.9867128\tbest: 0.9867189 (984)\ttotal: 38.4s\tremaining: 0us\n", + "0:\ttest: 0.9491030\tbest: 0.9491030 (0)\ttotal: 266ms\tremaining: 4m 26s\n", + "200:\ttest: 0.9793245\tbest: 0.9793245 (200)\ttotal: 14.5s\tremaining: 57.8s\n", + "400:\ttest: 0.9820451\tbest: 0.9820530 (398)\ttotal: 27s\tremaining: 40.3s\n", + "600:\ttest: 0.9827616\tbest: 0.9827616 (597)\ttotal: 40.5s\tremaining: 26.9s\n", + "800:\ttest: 0.9831529\tbest: 0.9831820 (788)\ttotal: 54.9s\tremaining: 13.6s\n", + "999:\ttest: 0.9837425\tbest: 0.9837425 (999)\ttotal: 1m 9s\tremaining: 0us\n", "\n", - "bestTest = 0.9867188573\n", - "bestIteration = 984\n", - "\n", - "Shrink model to first 985 iterations.\n" + "bestTest = 0.9837424813\n", + "bestIteration = 999\n", + "\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -1010,9 +871,18 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "d:\\Tugas Akhir\\Codingan\\Notebook - Playground\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import optuna\n", "from catboost import CatBoostClassifier\n", @@ -1050,34 +920,34 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[I 2025-01-19 21:36:46,269] A new study created in memory with name: no-name-24998c48-7ab3-460c-a73b-9aa6f43bfdc8\n", - "[I 2025-01-19 21:37:01,527] Trial 0 finished with value: 0.9771551526804926 and parameters: {'iterations': 649, 'learning_rate': 0.002356531904328771, 'depth': 4, 'subsample': 0.5287211911341743, 'colsample_bylevel': 0.5247194897918462, 'l2_leaf_reg': 10.976330879790167, 'random_strength': 7.413435700780713}. Best is trial 0 with value: 0.9771551526804926.\n", - "[I 2025-01-19 21:37:17,438] Trial 1 finished with value: 0.9826473774969859 and parameters: {'iterations': 555, 'learning_rate': 0.020382394285856864, 'depth': 5, 'subsample': 0.5386628374413537, 'colsample_bylevel': 0.7011677630678268, 'l2_leaf_reg': 5.113099196547044, 'random_strength': 9.893079897354522}. Best is trial 1 with value: 0.9826473774969859.\n", - "[I 2025-01-19 21:37:43,352] Trial 2 finished with value: 0.9776419600482229 and parameters: {'iterations': 707, 'learning_rate': 0.0011523374691728523, 'depth': 6, 'subsample': 0.6896392981436401, 'colsample_bylevel': 0.7243498051042692, 'l2_leaf_reg': 11.135729944501549, 'random_strength': 5.798833903834322}. Best is trial 1 with value: 0.9826473774969859.\n", - "[I 2025-01-19 21:38:04,812] Trial 3 finished with value: 0.9772055120633614 and parameters: {'iterations': 693, 'learning_rate': 0.0017201567283983315, 'depth': 5, 'subsample': 0.5042183778157456, 'colsample_bylevel': 0.6629079988150055, 'l2_leaf_reg': 8.005649715124765, 'random_strength': 9.665094335744072}. Best is trial 1 with value: 0.9826473774969859.\n", - "[I 2025-01-19 21:38:26,834] Trial 4 finished with value: 0.9871202063208656 and parameters: {'iterations': 714, 'learning_rate': 0.07759650357267997, 'depth': 5, 'subsample': 0.6922961321024227, 'colsample_bylevel': 0.5016545646731999, 'l2_leaf_reg': 6.281386045275517, 'random_strength': 6.552793489199638}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:38:48,372] Trial 5 finished with value: 0.9774695173129455 and parameters: {'iterations': 585, 'learning_rate': 0.006305531863851279, 'depth': 6, 'subsample': 0.5494390031333488, 'colsample_bylevel': 0.6030414898973065, 'l2_leaf_reg': 15.99220681185335, 'random_strength': 9.681170797727894}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:39:16,998] Trial 6 finished with value: 0.9792366738390637 and parameters: {'iterations': 809, 'learning_rate': 0.007336368376617573, 'depth': 6, 'subsample': 0.5923133899133239, 'colsample_bylevel': 0.7660581946641654, 'l2_leaf_reg': 12.3919091988477, 'random_strength': 7.903883438874353}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:39:38,529] Trial 7 finished with value: 0.9866410291626608 and parameters: {'iterations': 803, 'learning_rate': 0.03653076905048038, 'depth': 4, 'subsample': 0.593006037174206, 'colsample_bylevel': 0.7217340416753967, 'l2_leaf_reg': 6.735445361426357, 'random_strength': 6.666832401546532}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:39:53,527] Trial 8 finished with value: 0.9787513925132385 and parameters: {'iterations': 558, 'learning_rate': 0.009038699931330333, 'depth': 4, 'subsample': 0.7739155986246009, 'colsample_bylevel': 0.7659878632753714, 'l2_leaf_reg': 17.602739957093824, 'random_strength': 5.95160701740704}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:40:19,266] Trial 9 finished with value: 0.9834943307543226 and parameters: {'iterations': 1000, 'learning_rate': 0.01261295852486322, 'depth': 4, 'subsample': 0.7157271802792031, 'colsample_bylevel': 0.6315619597261601, 'l2_leaf_reg': 17.944347781213253, 'random_strength': 9.929119793767951}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:40:48,327] Trial 10 finished with value: 0.9870500083932305 and parameters: {'iterations': 912, 'learning_rate': 0.055912059976930245, 'depth': 5, 'subsample': 0.7975917646291624, 'colsample_bylevel': 0.5262611133152493, 'l2_leaf_reg': 8.87110873995303, 'random_strength': 5.119907612313103}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:41:18,306] Trial 11 finished with value: 0.9869172427474858 and parameters: {'iterations': 933, 'learning_rate': 0.09718913327176688, 'depth': 5, 'subsample': 0.7982309193265602, 'colsample_bylevel': 0.5002400453374314, 'l2_leaf_reg': 8.786070958278003, 'random_strength': 5.063101250696956}. Best is trial 4 with value: 0.9871202063208656.\n", - "[I 2025-01-19 21:41:47,830] Trial 12 finished with value: 0.9873658990675883 and parameters: {'iterations': 876, 'learning_rate': 0.09562605966721016, 'depth': 5, 'subsample': 0.7409456779566318, 'colsample_bylevel': 0.5586195847075694, 'l2_leaf_reg': 8.961877370933633, 'random_strength': 5.0170217614609705}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:42:14,352] Trial 13 finished with value: 0.9867310656350623 and parameters: {'iterations': 795, 'learning_rate': 0.0995697164401411, 'depth': 5, 'subsample': 0.7319878962098416, 'colsample_bylevel': 0.5760242041639352, 'l2_leaf_reg': 5.986660072960932, 'random_strength': 8.215667096275425}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:42:42,930] Trial 14 finished with value: 0.9864701124692885 and parameters: {'iterations': 872, 'learning_rate': 0.04085465674100252, 'depth': 5, 'subsample': 0.6632564341922649, 'colsample_bylevel': 0.5630613240622155, 'l2_leaf_reg': 9.819997956892475, 'random_strength': 6.714947133168835}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:43:11,978] Trial 15 finished with value: 0.9864029666254635 and parameters: {'iterations': 747, 'learning_rate': 0.023214134477676424, 'depth': 6, 'subsample': 0.7421705975249314, 'colsample_bylevel': 0.5553355257613636, 'l2_leaf_reg': 14.111430604723884, 'random_strength': 6.101808740209048}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:43:40,334] Trial 16 finished with value: 0.9864441697569015 and parameters: {'iterations': 859, 'learning_rate': 0.059234189592353055, 'depth': 5, 'subsample': 0.6377060538599335, 'colsample_bylevel': 0.6047103318025887, 'l2_leaf_reg': 7.1997352695871655, 'random_strength': 8.924012606144876}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:43:57,429] Trial 17 finished with value: 0.9774527308519891 and parameters: {'iterations': 645, 'learning_rate': 0.004006779484929066, 'depth': 4, 'subsample': 0.6856992963709286, 'colsample_bylevel': 0.5027601083651831, 'l2_leaf_reg': 19.917989160304266, 'random_strength': 6.909485015846398}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:44:34,140] Trial 18 finished with value: 0.9862381540997116 and parameters: {'iterations': 1000, 'learning_rate': 0.018012681624400343, 'depth': 6, 'subsample': 0.6306681187250449, 'colsample_bylevel': 0.5373205314655686, 'l2_leaf_reg': 13.371000422511258, 'random_strength': 5.527555543553592}. Best is trial 12 with value: 0.9873658990675883.\n", - "[I 2025-01-19 21:44:59,325] Trial 19 finished with value: 0.9866257687436097 and parameters: {'iterations': 769, 'learning_rate': 0.06575427694702385, 'depth': 5, 'subsample': 0.7521482678491676, 'colsample_bylevel': 0.5889844417940283, 'l2_leaf_reg': 10.274232272344193, 'random_strength': 6.301954961914125}. Best is trial 12 with value: 0.9873658990675883.\n" + "[I 2025-01-31 18:51:48,706] A new study created in memory with name: no-name-64301d1e-ebb0-4383-9c80-96d0c991cd74\n", + "[I 2025-01-31 18:52:32,766] Trial 0 finished with value: 0.9773838323749091 and parameters: {'iterations': 898, 'learning_rate': 0.011053171335873363, 'depth': 5, 'subsample': 0.6792060501802821, 'colsample_bylevel': 0.677770309507521, 'l2_leaf_reg': 6.799321957299509, 'random_strength': 9.022785536036583}. Best is trial 0 with value: 0.9773838323749091.\n", + "[I 2025-01-31 18:53:04,401] Trial 1 finished with value: 0.9764399497653513 and parameters: {'iterations': 751, 'learning_rate': 0.010856162412518163, 'depth': 4, 'subsample': 0.7382693336863855, 'colsample_bylevel': 0.7186692583510685, 'l2_leaf_reg': 8.362893889778585, 'random_strength': 8.702993428810624}. Best is trial 0 with value: 0.9773838323749091.\n", + "[I 2025-01-31 18:54:04,581] Trial 2 finished with value: 0.9846493489325138 and parameters: {'iterations': 923, 'learning_rate': 0.04798765627548158, 'depth': 6, 'subsample': 0.6754895839217451, 'colsample_bylevel': 0.5237363809797543, 'l2_leaf_reg': 19.582992922585383, 'random_strength': 8.441609405121403}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:54:58,991] Trial 3 finished with value: 0.9753136360631899 and parameters: {'iterations': 955, 'learning_rate': 0.0015368102043846466, 'depth': 6, 'subsample': 0.7011449309209402, 'colsample_bylevel': 0.7103505124550098, 'l2_leaf_reg': 5.113987964193796, 'random_strength': 8.460971358767354}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:55:25,136] Trial 4 finished with value: 0.9841575781611475 and parameters: {'iterations': 578, 'learning_rate': 0.063678671058667, 'depth': 4, 'subsample': 0.7677253729534457, 'colsample_bylevel': 0.7531320019655664, 'l2_leaf_reg': 15.93900442556415, 'random_strength': 5.432113965360059}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:56:16,998] Trial 5 finished with value: 0.9776138541873224 and parameters: {'iterations': 826, 'learning_rate': 0.009797116924664805, 'depth': 6, 'subsample': 0.5890878538611122, 'colsample_bylevel': 0.7373385731110815, 'l2_leaf_reg': 15.73191814912146, 'random_strength': 6.050835373364055}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:57:15,482] Trial 6 finished with value: 0.9749619935223743 and parameters: {'iterations': 809, 'learning_rate': 0.001699677627520717, 'depth': 6, 'subsample': 0.578445828928962, 'colsample_bylevel': 0.7436210936117759, 'l2_leaf_reg': 11.117190568598893, 'random_strength': 7.04383990081959}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:57:54,127] Trial 7 finished with value: 0.9816352700112367 and parameters: {'iterations': 861, 'learning_rate': 0.01541861782108474, 'depth': 4, 'subsample': 0.7886446490601242, 'colsample_bylevel': 0.6735700671825722, 'l2_leaf_reg': 11.919032864668194, 'random_strength': 9.492143464663224}. Best is trial 2 with value: 0.9846493489325138.\n", + "[I 2025-01-31 18:58:51,816] Trial 8 finished with value: 0.9852865357921872 and parameters: {'iterations': 769, 'learning_rate': 0.06982641965149956, 'depth': 6, 'subsample': 0.6814518799518184, 'colsample_bylevel': 0.7775983370027374, 'l2_leaf_reg': 8.960252840750547, 'random_strength': 9.846274339599894}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 18:59:44,308] Trial 9 finished with value: 0.9754141053605658 and parameters: {'iterations': 746, 'learning_rate': 0.0016137224415552842, 'depth': 6, 'subsample': 0.5993549736218431, 'colsample_bylevel': 0.6989790297541257, 'l2_leaf_reg': 13.553876556590211, 'random_strength': 5.990982802533768}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:00:15,989] Trial 10 finished with value: 0.9838826095578029 and parameters: {'iterations': 597, 'learning_rate': 0.03144100490697419, 'depth': 5, 'subsample': 0.5363364194930027, 'colsample_bylevel': 0.7978652144122366, 'l2_leaf_reg': 8.249537524112156, 'random_strength': 9.984348987802527}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:01:10,331] Trial 11 finished with value: 0.9841760856632956 and parameters: {'iterations': 974, 'learning_rate': 0.09965915584325698, 'depth': 5, 'subsample': 0.6574603869223254, 'colsample_bylevel': 0.5501601205848138, 'l2_leaf_reg': 19.76070753486162, 'random_strength': 7.755479575146688}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:01:54,913] Trial 12 finished with value: 0.9840386013616234 and parameters: {'iterations': 691, 'learning_rate': 0.03424349599719855, 'depth': 6, 'subsample': 0.7224175773823622, 'colsample_bylevel': 0.5929425691182608, 'l2_leaf_reg': 19.25404560213221, 'random_strength': 7.759900759284147}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:02:25,479] Trial 13 finished with value: 0.9840068742150836 and parameters: {'iterations': 502, 'learning_rate': 0.038817996889561834, 'depth': 6, 'subsample': 0.6330719275681617, 'colsample_bylevel': 0.5095236622667528, 'l2_leaf_reg': 9.778730963469318, 'random_strength': 9.883633709104314}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:03:12,496] Trial 14 finished with value: 0.9760645118646308 and parameters: {'iterations': 913, 'learning_rate': 0.004711726870893525, 'depth': 5, 'subsample': 0.6341455516910446, 'colsample_bylevel': 0.6189316091763777, 'l2_leaf_reg': 14.590796785510822, 'random_strength': 8.280974259767127}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:03:54,780] Trial 15 finished with value: 0.983739837398374 and parameters: {'iterations': 684, 'learning_rate': 0.0770812480415403, 'depth': 6, 'subsample': 0.6841267228305123, 'colsample_bylevel': 0.6244873598756205, 'l2_leaf_reg': 17.527072672878234, 'random_strength': 6.997647156643534}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:04:35,490] Trial 16 finished with value: 0.9834939520126909 and parameters: {'iterations': 797, 'learning_rate': 0.02527170220411846, 'depth': 5, 'subsample': 0.5006836923455774, 'colsample_bylevel': 0.5022479394722035, 'l2_leaf_reg': 10.283699043522013, 'random_strength': 9.139463380029865}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:05:33,238] Trial 17 finished with value: 0.984297706391698 and parameters: {'iterations': 911, 'learning_rate': 0.051380928005540824, 'depth': 6, 'subsample': 0.7343100864781796, 'colsample_bylevel': 0.7831407839963198, 'l2_leaf_reg': 17.57103102855441, 'random_strength': 9.394666221253614}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:06:12,201] Trial 18 finished with value: 0.9830497719611342 and parameters: {'iterations': 668, 'learning_rate': 0.01944108063159131, 'depth': 6, 'subsample': 0.6583734530240242, 'colsample_bylevel': 0.5684416729202474, 'l2_leaf_reg': 12.834044527259307, 'random_strength': 8.062187605442572}. Best is trial 8 with value: 0.9852865357921872.\n", + "[I 2025-01-31 19:06:52,557] Trial 19 finished with value: 0.9760327847180911 and parameters: {'iterations': 748, 'learning_rate': 0.004860150067425841, 'depth': 5, 'subsample': 0.6132382429039442, 'colsample_bylevel': 0.5408464943257619, 'l2_leaf_reg': 8.671812981324692, 'random_strength': 7.2908917904657535}. Best is trial 8 with value: 0.9852865357921872.\n" ] }, { @@ -1085,15 +955,15 @@ "output_type": "stream", "text": [ "Best Trial:\n", - "AUC: 0.9873658990675883\n", + "AUC: 0.9852865357921872\n", "Params:\n", - " iterations: 876\n", - " learning_rate: 0.09562605966721016\n", - " depth: 5\n", - " subsample: 0.7409456779566318\n", - " colsample_bylevel: 0.5586195847075694\n", - " l2_leaf_reg: 8.961877370933633\n", - " random_strength: 5.0170217614609705\n" + " iterations: 769\n", + " learning_rate: 0.06982641965149956\n", + " depth: 6\n", + " subsample: 0.6814518799518184\n", + " colsample_bylevel: 0.7775983370027374\n", + " l2_leaf_reg: 8.960252840750547\n", + " random_strength: 9.846274339599894\n" ] } ], @@ -1112,23 +982,22 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 0.5496446\ttest: 0.5501316\tbest: 0.5501316 (0)\ttotal: 24.4ms\tremaining: 21.3s\n", - "200:\tlearn: 0.1013691\ttest: 0.1337989\tbest: 0.1337962 (199)\ttotal: 5.2s\tremaining: 17.4s\n", - "400:\tlearn: 0.0785841\ttest: 0.1305082\tbest: 0.1304245 (367)\ttotal: 11s\tremaining: 13s\n", + "0:\tlearn: 0.5922554\ttest: 0.5897562\tbest: 0.5897562 (0)\ttotal: 108ms\tremaining: 1m 22s\n", + "200:\tlearn: 0.1113078\ttest: 0.1422183\tbest: 0.1422137 (199)\ttotal: 13.2s\tremaining: 37.4s\n", "Stopped by overfitting detector (50 iterations wait)\n", "\n", - "bestTest = 0.1302927779\n", - "bestIteration = 406\n", + "bestTest = 0.1357173793\n", + "bestIteration = 347\n", "\n", - "Shrink model to first 407 iterations.\n", - "Final AUC: 0.9874498313723695\n" + "Shrink model to first 348 iterations.\n", + "Final AUC: 0.9844008196179522\n" ] } ], @@ -1158,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1179,15 +1048,15 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Final Training Logloss: 0.07160162089283625\n", - "Final Validation Logloss: 0.13042008928172583\n" + "Final Training Logloss: 0.07900948412964129\n", + "Final Validation Logloss: 0.1360854668410178\n" ] } ], @@ -1204,12 +1073,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1239,78 +1108,78 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\ttotal: 20.5ms\tremaining: 20.5s\n", - "200:\ttotal: 6.73s\tremaining: 26.8s\n", - "400:\ttotal: 15s\tremaining: 22.4s\n", - "600:\ttotal: 23.9s\tremaining: 15.9s\n", - "800:\ttotal: 33.2s\tremaining: 8.24s\n", - "999:\ttotal: 43.5s\tremaining: 0us\n", - "0:\ttotal: 26.3ms\tremaining: 26.2s\n", - "200:\ttotal: 10.4s\tremaining: 41.3s\n", - "400:\ttotal: 20.6s\tremaining: 30.7s\n", - "600:\ttotal: 30.3s\tremaining: 20.1s\n", - "800:\ttotal: 39.7s\tremaining: 9.85s\n", - "999:\ttotal: 48.5s\tremaining: 0us\n", - "0:\ttotal: 35.6ms\tremaining: 35.5s\n", - "200:\ttotal: 9.03s\tremaining: 35.9s\n", - "400:\ttotal: 18.7s\tremaining: 27.9s\n", - "600:\ttotal: 28.4s\tremaining: 18.8s\n", - "800:\ttotal: 38.1s\tremaining: 9.47s\n", - "999:\ttotal: 46.5s\tremaining: 0us\n", - "0:\ttotal: 39.9ms\tremaining: 39.9s\n", - "200:\ttotal: 8.15s\tremaining: 32.4s\n", - "400:\ttotal: 16.2s\tremaining: 24.2s\n", - "600:\ttotal: 24.3s\tremaining: 16.1s\n", - "800:\ttotal: 33s\tremaining: 8.19s\n", - "999:\ttotal: 41.7s\tremaining: 0us\n", - "0:\ttotal: 40.1ms\tremaining: 40.1s\n", - "200:\ttotal: 8.38s\tremaining: 33.3s\n", - "400:\ttotal: 16.9s\tremaining: 25.3s\n", - "600:\ttotal: 25.4s\tremaining: 16.8s\n", - "800:\ttotal: 33.5s\tremaining: 8.33s\n", - "999:\ttotal: 41.8s\tremaining: 0us\n", - "0:\ttotal: 36.3ms\tremaining: 36.3s\n", - "200:\ttotal: 8.16s\tremaining: 32.4s\n", - "400:\ttotal: 16.1s\tremaining: 24.1s\n", - "600:\ttotal: 24.3s\tremaining: 16.1s\n", - "800:\ttotal: 32.5s\tremaining: 8.08s\n", - "999:\ttotal: 40.9s\tremaining: 0us\n", - "0:\ttotal: 28.1ms\tremaining: 28.1s\n", - "200:\ttotal: 7.96s\tremaining: 31.6s\n", - "400:\ttotal: 16.1s\tremaining: 24s\n", - "600:\ttotal: 24s\tremaining: 15.9s\n", - "800:\ttotal: 32.1s\tremaining: 7.98s\n", - "999:\ttotal: 40.7s\tremaining: 0us\n", - "0:\ttotal: 30.9ms\tremaining: 30.9s\n", - "200:\ttotal: 8.28s\tremaining: 32.9s\n", - "400:\ttotal: 16.9s\tremaining: 25.3s\n", - "600:\ttotal: 25.5s\tremaining: 16.9s\n", - "800:\ttotal: 33.8s\tremaining: 8.39s\n", - "999:\ttotal: 42.5s\tremaining: 0us\n", - "0:\ttotal: 36.3ms\tremaining: 36.2s\n", - "200:\ttotal: 8.29s\tremaining: 32.9s\n", - "400:\ttotal: 16.8s\tremaining: 25.2s\n", - "600:\ttotal: 25.6s\tremaining: 17s\n", - "800:\ttotal: 34.5s\tremaining: 8.56s\n", - "999:\ttotal: 44.2s\tremaining: 0us\n", - "0:\ttotal: 51.8ms\tremaining: 51.7s\n", - "200:\ttotal: 8.16s\tremaining: 32.4s\n", - "400:\ttotal: 16.5s\tremaining: 24.7s\n", - "600:\ttotal: 24.7s\tremaining: 16.4s\n", - "800:\ttotal: 33.7s\tremaining: 8.38s\n", - "999:\ttotal: 42.5s\tremaining: 0us\n" + "0:\ttotal: 53.9ms\tremaining: 53.8s\n", + "200:\ttotal: 15.8s\tremaining: 1m 2s\n", + "400:\ttotal: 32.7s\tremaining: 48.9s\n", + "600:\ttotal: 48.3s\tremaining: 32.1s\n", + "800:\ttotal: 1m 3s\tremaining: 15.8s\n", + "999:\ttotal: 1m 18s\tremaining: 0us\n", + "0:\ttotal: 67.1ms\tremaining: 1m 7s\n", + "200:\ttotal: 16.2s\tremaining: 1m 4s\n", + "400:\ttotal: 30.7s\tremaining: 45.8s\n", + "600:\ttotal: 42.6s\tremaining: 28.2s\n", + "800:\ttotal: 56.8s\tremaining: 14.1s\n", + "999:\ttotal: 1m 10s\tremaining: 0us\n", + "0:\ttotal: 115ms\tremaining: 1m 54s\n", + "200:\ttotal: 13.6s\tremaining: 54.1s\n", + "400:\ttotal: 26.6s\tremaining: 39.7s\n", + "600:\ttotal: 39.4s\tremaining: 26.1s\n", + "800:\ttotal: 52.8s\tremaining: 13.1s\n", + "999:\ttotal: 1m 6s\tremaining: 0us\n", + "0:\ttotal: 55.5ms\tremaining: 55.4s\n", + "200:\ttotal: 13.7s\tremaining: 54.6s\n", + "400:\ttotal: 26.3s\tremaining: 39.3s\n", + "600:\ttotal: 38.2s\tremaining: 25.4s\n", + "800:\ttotal: 50.6s\tremaining: 12.6s\n", + "999:\ttotal: 1m 3s\tremaining: 0us\n", + "0:\ttotal: 58.5ms\tremaining: 58.4s\n", + "200:\ttotal: 12.5s\tremaining: 49.6s\n", + "400:\ttotal: 25.3s\tremaining: 37.8s\n", + "600:\ttotal: 37.7s\tremaining: 25.1s\n", + "800:\ttotal: 51.5s\tremaining: 12.8s\n", + "999:\ttotal: 1m 6s\tremaining: 0us\n", + "0:\ttotal: 86.8ms\tremaining: 1m 26s\n", + "200:\ttotal: 11.9s\tremaining: 47.4s\n", + "400:\ttotal: 26.5s\tremaining: 39.6s\n", + "600:\ttotal: 39.9s\tremaining: 26.5s\n", + "800:\ttotal: 52.7s\tremaining: 13.1s\n", + "999:\ttotal: 1m 7s\tremaining: 0us\n", + "0:\ttotal: 108ms\tremaining: 1m 47s\n", + "200:\ttotal: 13.3s\tremaining: 53s\n", + "400:\ttotal: 27.2s\tremaining: 40.7s\n", + "600:\ttotal: 39.7s\tremaining: 26.4s\n", + "800:\ttotal: 53.8s\tremaining: 13.4s\n", + "999:\ttotal: 1m 8s\tremaining: 0us\n", + "0:\ttotal: 61.8ms\tremaining: 1m 1s\n", + "200:\ttotal: 13.3s\tremaining: 52.8s\n", + "400:\ttotal: 27.4s\tremaining: 40.9s\n", + "600:\ttotal: 41.3s\tremaining: 27.4s\n", + "800:\ttotal: 54.1s\tremaining: 13.4s\n", + "999:\ttotal: 1m 8s\tremaining: 0us\n", + "0:\ttotal: 61.2ms\tremaining: 1m 1s\n", + "200:\ttotal: 14.1s\tremaining: 56.2s\n", + "400:\ttotal: 28.4s\tremaining: 42.4s\n", + "600:\ttotal: 42.1s\tremaining: 28s\n", + "800:\ttotal: 56.9s\tremaining: 14.1s\n", + "999:\ttotal: 1m 11s\tremaining: 0us\n", + "0:\ttotal: 61.5ms\tremaining: 1m 1s\n", + "200:\ttotal: 14.3s\tremaining: 56.9s\n", + "400:\ttotal: 26.4s\tremaining: 39.5s\n", + "600:\ttotal: 38.8s\tremaining: 25.7s\n", + "800:\ttotal: 52.1s\tremaining: 12.9s\n", + "999:\ttotal: 1m 5s\tremaining: 0us\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -1322,8 +1191,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Accuracy Scores for each fold: [0.94691358 0.94814815 0.95550062 0.95302843 0.96044499 0.95550062\n", - " 0.94684796 0.96415328 0.95673671 0.96044499]\n", + "Accuracy Scores for each fold: [0.95772358 0.95121951 0.9495935 0.96585366 0.95772358 0.94796748\n", + " 0.95284553 0.9398374 0.96416938 0.95602606]\n", "Mean Accuracy: 0.95\n", "Standard Deviation: 0.01\n" ] @@ -1370,78 +1239,68 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 0.5471794\ttotal: 32.4ms\tremaining: 28.4s\n", - "200:\tlearn: 0.1015757\ttotal: 6.25s\tremaining: 21s\n", - "400:\tlearn: 0.0766872\ttotal: 13s\tremaining: 15.4s\n", - "600:\tlearn: 0.0614839\ttotal: 20.1s\tremaining: 9.21s\n", - "800:\tlearn: 0.0512545\ttotal: 26.8s\tremaining: 2.51s\n", - "875:\tlearn: 0.0477551\ttotal: 29.4s\tremaining: 0us\n", - "0:\tlearn: 0.5481219\ttotal: 35.6ms\tremaining: 31.1s\n", - "200:\tlearn: 0.0981562\ttotal: 6.35s\tremaining: 21.3s\n", - "400:\tlearn: 0.0772036\ttotal: 13.3s\tremaining: 15.8s\n", - "600:\tlearn: 0.0599954\ttotal: 19.8s\tremaining: 9.08s\n", - "800:\tlearn: 0.0473294\ttotal: 26.3s\tremaining: 2.47s\n", - "875:\tlearn: 0.0440178\ttotal: 28.9s\tremaining: 0us\n", - "0:\tlearn: 0.5523868\ttotal: 37.9ms\tremaining: 33.1s\n", - "200:\tlearn: 0.1038157\ttotal: 6.43s\tremaining: 21.6s\n", - "400:\tlearn: 0.0795523\ttotal: 13.3s\tremaining: 15.7s\n", - "600:\tlearn: 0.0626088\ttotal: 20.1s\tremaining: 9.19s\n", - "800:\tlearn: 0.0498160\ttotal: 27s\tremaining: 2.53s\n", - "875:\tlearn: 0.0456413\ttotal: 29.4s\tremaining: 0us\n", - "0:\tlearn: 0.5464817\ttotal: 27.7ms\tremaining: 24.3s\n", - "200:\tlearn: 0.1034084\ttotal: 6.06s\tremaining: 20.4s\n", - "400:\tlearn: 0.0815560\ttotal: 12.5s\tremaining: 14.8s\n", - "600:\tlearn: 0.0679180\ttotal: 19.2s\tremaining: 8.8s\n", - "800:\tlearn: 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11.4s\n", + "768:\tlearn: 0.0577402\ttotal: 53.2s\tremaining: 0us\n", + "0:\tlearn: 0.5793558\ttotal: 78.5ms\tremaining: 1m\n", + "200:\tlearn: 0.1156503\ttotal: 13s\tremaining: 36.8s\n", + "400:\tlearn: 0.0851988\ttotal: 27.6s\tremaining: 25.3s\n", + "600:\tlearn: 0.0650702\ttotal: 42.9s\tremaining: 12s\n", + "768:\tlearn: 0.0549370\ttotal: 54.7s\tremaining: 0us\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -1453,9 +1312,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Accuracy Scores for each fold: [0.94567901 0.94444444 0.95426452 0.96044499 0.9592089 0.96044499\n", - " 0.94561187 0.96291718 0.9592089 0.96538937]\n", - "Mean Accuracy: 0.96\n", + "Accuracy Scores for each fold: [0.95772358 0.95447154 0.94796748 0.96097561 0.95447154 0.95284553\n", + " 0.9495935 0.94308943 0.96579805 0.95439739]\n", + "Mean Accuracy: 0.95\n", "Standard Deviation: 0.01\n" ] } @@ -1466,12 +1325,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1485,7 +1344,7 @@ "text": [ "Training Metrics:\n", "Accuracy: 0.97\n", - "Precision: 0.95\n", + "Precision: 0.94\n", "Recall: 0.99\n", "F1 Score: 0.97\n", "------------------------------\n" @@ -1493,7 +1352,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1506,10 +1365,10 @@ "output_type": "stream", "text": [ "Testing Metrics:\n", - "Accuracy: 0.96\n", - "Precision: 0.94\n", + "Accuracy: 0.95\n", + "Precision: 0.93\n", "Recall: 0.98\n", - "F1 Score: 0.96\n", + "F1 Score: 0.95\n", "------------------------------\n" ] } @@ -1558,12 +1417,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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AAPaVmBqDiAgMAAD2RcbADYEBAMC+GJXghsAAAGBfZAzc8IkAAAALGQMAgH3RleCGwAAAYF90JbghMAAA2BcZAzcEBgAA+yJj4IbAAABgX2QM3BAqAQAACxkDAIB90ZXghsAAAGBfdCW4ITAAANgXGQM3BAYAAPsiMHBDYAAAsC+6EtwQKgEAAAsZAwCAfdGV4IbAAABgX3QluCEwAADYFxkDNwQGAAD7ImPghsAAAGBbiQgM3JBDAQAAFjIGAADbImPgjsAAAGBfxAW+Gxjcvn1bzp49K/fu3XNZnidPHq+1CQDg38gY+GBgcODAAenYsaNs2LDBZbnD4TC/sLt373qtbQAA/0Zg4IOBQYcOHSRp0qSydOlSCQwM5JcEAIg3HHN8MDDYuXOnbN++XYoUKeLtpgAAYHteDwyKFSsm58+f93YzAAA2RMbAB+cxGD16tLz55puyevVquXDhgly9etXlBgCAxyR6hJuf8nrGoG7duua+Tp06LsspPgQAeBoZAx8MDFatWuXtJgAAbIrAwMcCg7CwMBk+fLhMnz5dChYs6M2mAABsiMDAx2oMkiVLJrt27fJmEwAA8Ljg4GCpWLGipE2bVrJlyybNmjWT/fv3u2xz69Yt6dq1q2TOnFnSpEkjLVq0kDNnzrhsc+zYMWnUqJGkSpXK7Kdfv35y584dl220Zq9cuXISEBAgBQoUkFmzZiWs4sP//Oc/MmPGDG83AwBg04xBbG8xsWbNGnPQ37RpkyxfvtxkzOvVqyfXr1+3tunVq5csWbJEvvrqK7P9yZMnpXnz5tZ6rbnToEBnCtZJAWfPnm0O+oMHD7a2OXLkiNmmVq1aZjqAnj17yiuvvCI///xztNuayKFVfl70xhtvyOeff266EsqXLy+pU6d2WT9+/PgY7zNlrRFx2ELANx1fMsDbTQA8Lksaz/Z4Z24/P9bPvTC7Vayfe+7cOXPGrwFA9erV5cqVK5I1a1aZN2+ePP/882abffv2SdGiRWXjxo1SuXJl+emnn+TZZ581AUP27NnNNtoV379/f7O/5MmTm59/+OEH+fPPP63Xeumll+Ty5cuybNmyhFF8qI3XlIf6+++/XdbR9wMA8KRHOc6EhoaaW3iavtfbw2ggoDJlymTudaI/zSI4R+opnfhPrxfkDAz0vmTJklZQoOrXry9dunSRPXv2SNmyZc024ffh3EYzB9Hl9cCAUQkAgIQYGAQHB8uwYcNclg0ZMkSGDh36wOfpxQL1QF21alUpUaKEWXb69Glzxp8hQwaXbTUI0HXObcIHBc71znUP2kbnBbp586akTJnS9wMDAAASYmAwYMAA6d27t8uy6GQLtNZAs+Xr1q0TX+T1wEALJB70i1m5cmW8tgcAgOiIbrdBeN26dTMXDVy7dq089thj1vIcOXKYokKtBQifNdBRCbrOuc2WLVtc9ucctRB+m4gjGfRxunTpopUt8IlRCWXKlJHSpUtbN712gn44v//+u+lLAQAgoU+J7HA4TFCwaNEic8KbL18+l/VafK9D+FesWGEt0+GMOjyxSpUq5rHe7969W86ePWttoyMc9KCvx07nNuH34dzGuY8EkTGYMGFCpMu1jyYkJCTe2wMAsI/4KnLv2rWrGXHw3XffmbkMnDUB6dOnN2fyet+pUyfTNaEFiXqw11F7ekDXwkOlwxs1AGjbtq2MGTPG7OOdd94x+3ZmLl5//XWZMmWKuQZRx44dTRCycOFCM1IhwQxXjMrBgwfliSeekIsXL8b4uQxXhB0wXBF24Onhijk6fx3r557+5P6wwkcJQGbOnCkdOnSwJjjq06ePzJ8/34x20NEEH374odVNoI4ePWpGIegkRjq8v3379jJq1ChJmvT/Pyddp3Mi/PXXX6a7YtCgQdZrJIiMQVR0yEWKFCm83QwAgB+Lr4yBIxrn4HrMmzp1qrlFJSgoSH788ccH7qdmzZqyY8cOiS2vBwbhZ3VyfninTp2Sbdu2mSgHAABPYb4cHwwMtF8lvMSJE0vhwoXNxZW0PwUAANgoMND+FQAAvIKEge8FBk46RFGHYOiMUOHpdJAAAHgCXQk+GBjo9RF0iIZeKSpirYH+wvRqUgAAeAKBgQ8GBi+//LIZZqEzQQUGBvJLAgDEG445PhgY6PWi9apSehUpAABg88BAZ3E6f/68t5sBALAjEga+ERjo5R+dRo8ebaZuHDlypLk2gs4VHZ5OCwnP69u6qjSrVkQK5cksN0PvyOY9J2TgxyvkwPELZn3GtClkUIcaUqfC45I7ezo5f/mGLFm/X4Z9tlquXv//65HXLJdXhrxcU4rnzybXb4XJ3J93yZBPV8rde/cn98iTPb3s/7K72+vX+O9nsmXvv/H4joH7dv6+TeZ9/pns2/uXXDh/ToLHTZLqteq4bPPPkUPy4aTxsnP7NlP3lDd/fnlvzETJEZjTrTaqb/fXZdOGdZHuB76HrgQfCQz0ylHhfxn6n6lOHdf/QBQfxq9qpfPI9MVbZfv+U5I0SWIZ9kotWTqmtZR9ebrcuBUmgZnTSmCWtDJg+nLZe/S8OcBP7tXQLG899P6UoiUfzy6Lg1vJ6LnrpFPwd5Iza1qZ3KuRJEmcSAZM/9Xl9Rr0mSN7j5yzHl+4ejPe3zOg9Br1BQoVlkZNmsvb/Xq4rT9x/Jh06dRWnm3aXF55rZukSp1ajhw+GOlV9RbM+1yPNPHUcsQFAgMfCQxWrVrljZfFAzTtP9/l8aujvpfji/tI2UKBsn7XMfnrn3PSasj/zyl+5OQlGTpjlXz2djNz4NeMwPO1ismfh89K8Oe/mW0On7wkAz/6Vb4Y0kLem71WQm7etp5/8cpNOXPpejy+QyByVapWM7eofPzhJKlStbp07dHXWvZYbvdh1H/v3ytffjFbZsxZIE3q1/RYexG3CAx8JDCoUaOGN14WMZAu9f2zoUsPOJPXba7eCLW6CQKSJZFbt++4bKPdEikDkpkA47c/jlrLv37vRQlInlQOnrgg47/cKD9s+Ntj7wWILZ1XZcO6NdKmXUfp1bWz/L1/n+TMmUvavtzZpZvg1s2bMmzgm9Kn/zuSOUtWr7YZMUNg4C6xeMmBAwekVatWLvUGTleuXJHWrVvL4cOHvdI2u9P/J2O71ZMNu+9nCiKTOV1KGdC2mny29P8v1LF862GpXPwxaVm7uCROnEhyZkkrb7e7fyYWmDmNub9+87b0//AXaTPsa2k+YL5s2H1cFo5oKY2eLBRP7w6IvksXL8jNGzfki1kzpNKTT8mEqR+bgEC7HHZs32ptN2n8aClRqqxUq1nbq+0FEvSohLFjx0ru3LkjLS7U6yfoOt1m2rRpD9yPXppSb+E57t2RRIm9PuAiwZrYo4EUz5dN6rwxK9L1aVMll0WjWplag3dnrbGWr9h2WN7+6FeZ1KuhzHi7mYTeviOj5vwmT5UOknv/u7KY1hJM+mqz9RytadDahV4vViFrAJ/j/N5Wq1FLXmrT3vxcqHBR2b1rpyz+ZoGULV9RfluzUrZv3Swz58X+8r3wIhIGvpMxWLNmjbzwwgtRrm/ZsqWsXLnyofsJDg42gUT4252ja+O4tfYxofsz0rBKQanfa478e/6a2/o0KZPL96Nby7UbofLioIVy567rFNZ60M/ReKwUevEDeazZ+7Jk/d9WTUJUtu79V/LnyuiBdwM8eqF0kiRJJW/+x12W582XX86cPmV+1qDg3xPH5ZmaVaT6E6XMTQ18s6d0e7WDV9qNmHUlxPbmr7x2Wn3s2DHJli1blOuzZMkix48ff+h+BgwYIL1793ZZlq3x+3HSRjsGBU2eKiz1es2Ro6cvR5opWDKmjYSG3ZHnBy6Q0LCoR4ycuhBi7lvWKS7Hz1yRHQdOR7ltqcezy+n/bQ/4kmTJkkvR4iXk2NF/XJYfP3pUcuS4P1SxbYdXpEmz513Wt32xmXTv3V+qVqcI0df58wE+wQUGemZ/6NAhCQoKinT9wYMHozWHgQ4ZijhsiG6EmJvYs4G8WKeEvPDOAgm5ESrZM6Y2y69cDzUFhRoULB3bxhQSvjxysaRLFWBu6tyVG3LvfwWI2iXwy5ZDJgXbtFoR6duqqvxn2DfW+jb1S0lY2F3Z+b9AoWn1ItK+QRnpMm6p19477O3GjetmSKLTyZMnzAiDdOnSm3kKWrd9WQYP6CNlypaXchWfMHMUrP9ttUz+6P6VYbXYMLKCw+w5AiVnrsfi9b0g5ogL3HntCFq9enWZPHmy1K4debHOpEmTpFq1qIcQIW691rSCuV8+8X4/qlPnUd/JFz/vkjIFA+WJYvf/yP01t5vLNoVfmiTHzlwxP9d74nF58z9PmREKuw+dMYGGBgrhvdW2mpkHQbsh/j5+QdoO/1YWrd3r4XcIRG7fX3vkjddeth5PHj/G3Dd4tqm8M2yk1KhdV/q9PUTmzPxEJowLljxBec3kRqXLlvdiqxFXyBi4S+TQmYS8YMeOHVKlShV59tlnzcyHhQsXNsv37dsnY8aMkR9++MFccbFcuXIx3nfKWiM80GLAtxxfMsDbTQA8Lksaz56/Fuy3LNbPPTD2GfFHXssYlC1bVr7++mvp2LGjLFq0yGVd5syZZeHChbEKCgAAiC4SBu682hmv2YKjR4/KsmXLTE2BJi8KFSok9erVk1SpUnmzaQAAG6ArwZ3Xq/RSpkwpzz33nLebAQCwIeICHwwMAADwFp2lFa4IDAAAtkXGwIdmPgQAAL6HjAEAwLYoPvTBjEGSJEnk7NmzbssvXLhg1gEA4CkaF8T25q+8njGIan4lvWJi8uTJ4709AAD7IGPgQ4GBTnns/KV8+umnkiZNGmvd3bt3Ze3atVKkSBFvNQ8AYAMEBj4UGEyYMMHKGEyfPt2l20AzBXnz5jXLAQDwFOICHwoMjhw5Yu5r1aol3377rWTMmNFbTQEAAL5SY7Bq1Sq3egNSOwCA+MDxxgdHJajPP/9cSpYsaaZH1lupUqVkzpw53m4WAMDPMSrBBzMG48ePl0GDBkm3bt2katWqZtm6devk9ddfl/Pnz0uvXr283UQAgJ8iY+CDgcHkyZNl2rRp0q5dO2tZkyZNpHjx4jJ06FACAwCAxxAX+GBgcOrUKXnyySfdlusyXQcAgKeQMfDBGoMCBQrIwoUL3ZYvWLBAChYs6JU2AQBgV17PGAwbNkxefPFFM6GRs8Zg/fr1smLFikgDBgAA4goJAx8MDFq0aCGbN282Ex4tXrzYLCtatKhs2bJFypYt6+3mAQD8GF0JPhgYqPLly8sXX3zh7WYAAGyGuMBHAwMAALyBjIEPBQaJEyd+6C9E19+5cyfe2gQAsBfiAh8KDBYtWhTluo0bN5qrL967dy9e2wQAgN15LTBo2rSp27L9+/fLW2+9JUuWLJE2bdrI8OHDvdI2AIA90JXgg/MYqJMnT0rnzp3N9RK062Dnzp0ye/ZsCQoK8nbTAAB+jGsl+FhgcOXKFenfv7+Z5GjPnj1m7gLNFpQoUcKbzQIA2ChjENubv/JaV8KYMWNk9OjRkiNHDpk/f36kXQsAAHiSPx/gE1xgoLUEeollzRZot4HeIvPtt9/Ge9sAAPZAXOBDgYFeTZFIDQAA3+K1wGDWrFneemkAAAxOUN0x8yEAwLaIC9wRGAAAbIuMgY/OYwAAgD/PY7B27Vpp3Lix5MyZ0wQjzqsJO3Xo0MFtOOQzzzzjss3FixfN5H/p0qWTDBkySKdOnSQkJMRlm127dkm1atUkRYoUkjt3bjMCMKYIDAAAtpU4UaJY32Li+vXrUrp0aZk6dWqU22ggcOrUKeumQ/nD06BA5/xZvny5LF261AQbr776qrX+6tWrUq9ePTM54Pbt22Xs2LEydOhQ+fjjj2PUVroSAADwsAYNGpjbgwQEBJi5fSKzd+9eWbZsmWzdulUqVKhglk2ePFkaNmwo48aNM5mIuXPnyu3bt+Wzzz6T5MmTS/Hixc1MwuPHj3cJIB6GjAEAwLYepSshNDTUnKWHv+my2Fq9erVky5ZNChcuLF26dJELFy64XFxQuw+cQYGqW7euuVLx5s2brW2qV69uggKn+vXrm+sQXbp0KdrtIDAAANjWo0yJHBwcLOnTp3e56bLY0G6Ezz//3FwaQGcFXrNmjckw3L1716w/ffq0CRrCS5o0qWTKlMmsc26TPXt2l22cj53bRAddCQAA20r8CIMSBgwYIL1793brDoiNl156yfpZLyhYqlQpefzxx00WoU6dOhKfCAwAALb1KMMVAwICYh0IPEz+/PklS5YscvDgQRMYaO3B2bNnXbbRqxHrSAVnXYLenzlzxmUb5+OoahciQ1cCAMC2fPWyyydOnDA1BoGBgeZxlSpV5PLly2a0gdPKlSvl3r17UqlSJWsbHakQFhZmbaMjGLRmIWPGjNF+bQIDAAA8LCQkxIwQ0Js6cuSI+fnYsWNmXb9+/WTTpk3yzz//mDoDveKwXmRQiwdV0aJFTR1C586dZcuWLbJ+/Xrp1q2b6YLQEQmqdevWpvBQ5zfQYY0LFiyQDz74wK2742HoSgAA2FYiiZ+ZD7dt2ya1atWyHjsP1u3bt5dp06aZiYn0KsOaFdADvc5HMGLECJeuCh2OqMGAdi3oaIQWLVrIpEmTrPVa/PjLL79I165dpXz58qYrYvDgwTEaqqgSORwOh/iZlLVGeLsJgMcdXzLA200APC5LGs+evzb5eGusn/v9qxXFH5ExAADYFtdKcEdgAACwLeICdwQGAADbiuk1D+yAUQkAAMBCxgAAYFskDNwRGAAAbIviQ3cEBgAA2yIucEdgAACwLYoP3REYAABsi7AgloHB999/L9HVpEmTaG8LAAASYGDQrFmzaBdx3L1791HbBABAvKD4MJaBgV7WEQAAf5OYuMANNQYAANsiYxBHgcH169dlzZo15jrSt2/fdlnXvXv32OwSAIB4R1wQB4HBjh07pGHDhnLjxg0TIGTKlEnOnz8vqVKlkmzZshEYAAASDDIGcXCthF69eknjxo3l0qVLkjJlStm0aZMcPXpUypcvL+PGjYvp7gAAQEIODHbu3Cl9+vSRxIkTS5IkSSQ0NFRy584tY8aMkbffftszrQQAwEPFh7G9+asYBwbJkiUzQYHSrgOtM1Dp06eX48ePx30LAQDwYFdCbG/+KsY1BmXLlpWtW7dKwYIFpUaNGjJ48GBTYzBnzhwpUaKEZ1oJAIAH+O/hPR4zBiNHjpTAwEDz83vvvScZM2aULl26yLlz5+Tjjz9+hKYAABD/10qI7c1fxThjUKFCBetn7UpYtmxZXLcJAAB4CRMcAQBsy49P/OMvMMiXL98Diy4OHz4c+9YAABCP/LmIMN4Cg549e7o8DgsLM5MeaZdCv379Yt0QAADiG3FBHAQGPXr0iHT51KlTZdu2bTHdHQAAXuPPRYTxNiohKg0aNJBvvvkmrnYHAIDHaVwQ25u/irPA4OuvvzbXTQAAADab4Ch8sYbD4ZDTp0+beQw+/PDDuG4fAAAeQ/FhHAQGTZs2dfkgdXrkrFmzSs2aNaVIkSLiCy4tH+TtJgAel7FiN283AfC4mzumJIy0uZ0Dg6FDh3qmJQAAxDMyBnEQLOkVFc+ePeu2/MKFC2YdAAAJBVdXjIOMgdYUREYvv5w8efKY7g4AAK/x5wO8xwODSZMmWWmXTz/9VNKkSWOtu3v3rqxdu9ZnagwAAICHA4MJEyZYGYPp06e7dBtopiBv3rxmOQAACQU1Bo8QGBw5csTc16pVS7799ltzuWUAABIyuhLioMZg1apVMX0KAAA+iYRBHIxKaNGihYwePdpt+ZgxY+SFF16I6e4AAPDqtRJie/NXMQ4MtMiwYcOGkV4rQdcBAJCQDoKxvfmrGL+3kJCQSIclJkuWTK5evRpX7QIAAAkhMChZsqQsWLDAbfmXX34pxYoVi6t2AQDgcVxdMQ6KDwcNGiTNmzeXQ4cOSe3atc2yFStWyLx588wVFgEASCj8uVYg3gKDxo0by+LFi2XkyJEmEEiZMqWULl1aVq5cyWWXAQAJCnFBHAQGqlGjRuamtK5g/vz50rdvX9m+fbuZBREAgISAeQzcxbqwUkcgtG/fXnLmzCnvv/++6VbYtGlTbHcHAEC8Y7jiI2YMTp8+LbNmzZIZM2aYTEHLli3NxZO0a4HCQwAAbJQx0NqCwoULy65du2TixIly8uRJmTx5smdbBwCABzEq4REyBj/99JN0795dunTpIgULFozu0wAA8FnUGDxCxmDdunVy7do1KV++vFSqVEmmTJki58+fj+7TAQDwOYke4Z/YPTCoXLmyfPLJJ3Lq1Cl57bXXzIRGWnh47949Wb58uQkaAABIaBmD2N78VYxHJaROnVo6duxoMgi7d++WPn36yKhRoyRbtmzSpEkTz7QSAAAPIDBw90jXgdBiRL2q4okTJ8xcBgAAwIYTHEWUJEkSadasmbkBAJBQJPLn4QXeDAwAAEiI/LlLILb8+ZLSAAD4xDwGa9euNfMBadG+Zil0YsDwHA6HDB48WAIDA801iOrWrSsHDhxw2ebixYvSpk0bSZcunWTIkEE6deokISEhLtvoXEPVqlWTFClSSO7cuU13f0wRGAAAbCu+pkS+fv26ueDg1KlTI12vB/BJkybJ9OnTZfPmzabQv379+nLr1i1rGw0K9uzZY0YCLl261AQbr776qrVeZySuV6+eBAUFmWsXjR07VoYOHSoff/xxjNqayKFhip+5dcfbLQA8L2PFbt5uAuBxN3dM8ej+J607Euvndn8qX6yepxmDRYsWWXV5ehjWTIKO8tMLEqorV65I9uzZzWUIXnrpJdm7d6+59MDWrVulQoUKZptly5ZJw4YNzQAAff60adNk4MCB5vIFyZMnN9u89dZbJjuxb9++aLePjAEAALEQGhpqztLD33RZTB05csQczLX7wCl9+vRmMsGNGzeax3qv3QfOoEDp9okTJzYZBuc21atXt4ICpVmH/fv3y6VLl6LdHgIDAIBtPUqNQXBwsDmAh7/pspjSoEBphiA8fexcp/c6X1B4SZMmlUyZMrlsE9k+wr9GdDAqAQBgW4kfYWrjAQMGSO/evV2WBQQESEJHYAAAsK1HmcYgICAgTgKBHDlymPszZ86YUQlO+rhMmTLWNmfPnnV53p07d8xIBefz9V6fE57zsXOb6KArAQBgW74wJXK+fPnMgXvFihXWMq1X0NqBKlWqmMd6f/nyZTPawGnlypXmekVai+DcRkcqhIWFWdvoCAadpThjxozRbg+BAQDAtuJruGJISIjs3LnT3JwFh/rzsWPHzCiFnj17yrvvvivff/+9uQ5Ru3btzEgD58iFokWLyjPPPCOdO3eWLVu2yPr166Vbt25mxIJup1q3bm0KD3V+Ax3WuGDBAvnggw/cujsehq4EAAA8bNu2bVKrVi3rsfNg3b59ezMk8c033zRzHei8BJoZeOqpp8xwRJ2oyGnu3LkmGKhTp44ZjdCiRQsz94GTFj/+8ssv0rVrVylfvrxkyZLFTJoUfq6D6GAeAyCBYh4D2IGn5zH4ZPPRWD+3c6Ug8UdkDAAAthXTLgE7IDAAANgWcYE7AgMAgG1Rge+OwAAAYFs6IgCuCJYAAICFjAEAwLbIF7gjMAAA2BajEtwRGAAAbIuwwB2BAQDAtkgYuCMwAADYFqMS3DEqAQAAWMgYAABsi7NjdwQGAADboivBHYEBAMC2CAvcERgAAGyLjIE7AgMAgG1RY+COzwQAAFjIGAAAbIuuBHcEBgAA2yIscEdgAACwLRIG7ggMAAC2lZicgRsCAwCAbZExcMeoBAAA4FsZg8uXL8uWLVvk7Nmzcu/ePZd17dq181q7AAD+LRFdCb4XGCxZskTatGkjISEhki5dOpehI/ozgQEAwFPoSvDBroQ+ffpIx44dTWCgmYNLly5Zt4sXL3q7eQAAPy8+jO3NX3k9Y/Dvv/9K9+7dJVWqVN5uCgDAZsgY+GDGoH79+rJt2zZvNwMAYNPAILY3f+X1jEGjRo2kX79+8tdff0nJkiUlWbJkLuubNGnitbYBAGA3iRwOh8ObDUicOOqkhRYf3r17N8b7vHXnERsFJAAZK3bzdhMAj7u5Y4pH97987/lYP/fpolnEH3k9YxBxeCIAAPElsR93CSTIGoOwsDBJmjSp/Pnnn95sBgDAxvMYxPafv/JqxkDrCfLkyROr7gIAAB6VPxcRJthRCQMHDpS3336bOQsAAPABXq8xmDJlihw8eFBy5swpQUFBkjp1apf1v//+u9faBgDwb/7cJZBgA4NmzZp5uwmIphmffCQrlv8iR44cloAUKaRMmbLSs3dfyZsvv7VNaGiovD9mlCz76Ue5ffu2PFn1KRk4aIhkzuKf1btIWPp2rCfNapeWQnmzy83QMNn8x2EZ+MF3cuDo2Ui3Xzyli9SvWlxa9vpYlqzeZZZlSp9aZr7XXkoWyiWZ0qeScxdDZOnqXTJ4yhK5dv2W9dzXWlaX11+sLkE5M8nx05dk9IyfZd7SLfH2XhE9FB/6YGAwZMgQbzcB0bRt6xZ5sVUbKV6ypNy9c1cmfzBeXu/cSb79/gdr5sqxo0fKb2vWyNjxEyVt2rQS/N4I6d2jm8ye+6W3mw9ItXIFZPqCtbJ9z1FJmjSJDOvWWJZO6yZlm78rN27ddtn2jTa1JLLB3DqSaumaXTLsw6Vy/tI1yZ87q0x8q6VMTp9aOrw9y2zT+YWnZPgbjaXriPmybc9RqVgir0wd1EouX70hP66l2NqXkDHwwcAACce0j2e4PB7+3iipVa2K7P1rj5SvUFGuXbsmi775RkaNGSeVKle5v827I6VZ44ay64+dUqp0GS+1HLivabcPXR6/OuQLOb5ylJQtllvW/37IWl6qUC7p0ba2VG0zRv75NdjlOZev3ZRPvlpnPT526pJ8/NVv0qtdXWtZ60ZPyIxv1svXv9zvCv3n3wtSvnge6dPhaQIDH0PxoQ8WH+oER0mSJInyBt8Vcu2auU+XPr25/2vPn3LnTphUqvKktU2+/I9LYGBO+WPnTq+1E4hKujQpzP2lKzesZSlTJJNZwR2k56iFcubC/e/4gwRmTS9Na5eR37YfsJYlT5ZUbt0Oc9nu5q0wqVAiSJIm9fqfXYST6BFu/srrGYNFixa5zW2wY8cOmT17tgwbNsxr7cKDaTp1zOiRUqZsOSlYsJBZduH8eTMEVS+fHV6mzJnl/PlzXmopEPXMqmP7Pi8bdhySvw6dspaP6dNCNv1xRJau3v3A588O7iDP1iglqVIml6VrdkuX4fOsdb9u3Csdmj0pS1btkh17j0u5Ynmkw3NPmoAhS4Y0cvr8VY++NyBBBwZNmzZ1W/b8889L8eLFZcGCBdKpU6cHPl+L3fQWniNJgAQEBMR5W/H/Rr47TA4dOCCz5vz/H0MgIZk4oKUULxAodV6eYC1rVKOk1HyikFR+adRDn//muG/kvY9+koJB2WT4G01kdJ/m0jN4oVkX/MkyyZ45nayZ3dekqs9evCZzl2yWPi8/LffueXUWekSQmL4ENz6b06pcubKsWLHiodsFBwdL+vTpXW5jR7v2CSJujXx3uKxds1o+mTlbsufIYS3XkQea8bl61fVs6OKFC5IlS1YvtBSI3IT+L0jDaiWkfudJ8u/Zy9bymhULSf7HssjptWPl2tYPzE3NH/eK/PxJD5d9aDfD3/+ckR/W7JY33p1vRiHkyHI/W3YrNExeHzZXMj3ZS4o0GiIFGwySo6cuyNWQm3LuUkg8v1s8CF0JPpgxiMzNmzdl0qRJkitXroduO2DAAOndu7dbxgBxT6+3paMMVq5YLjNmzZHHHsvtsr5Y8RKSNGky2bJpo9StV98s++fIYTl16qSULkPhIXwnKGhSu7TU6/yBHD15wWXduJm/yMxFG1yWbf96oLz5/jfyw5qoiwYT/W/Mm3YVhHfnzj0r8Hihfnn56bc95v8RfIg/H+ETamCQMWNG09fnpP9ptLpdh7998cUXD32+dhlE7Dbg6oqeMXLEMPnpx6UycfKHkjpVajl/7n7dQJq0aSVFihRmeOJzLVrIuDGjTEFimjRpZNTId6V0mbKMSIDPdB+82KCCvNDrYwm5fkuyZ05rll8JuWXO8jULEFnB4fFTl6wgov5TxSRbpnRmyGPIjVAp9nigjOzVzNQqHDt1fwbXAnmymULDrX/+IxnTppLubWtLscdzyiuD5sTzO8bDMFzRBwODiRMnuo1SyJo1q1SqVMkEDfAdCxfMN/edOrR1WT783WBp+lxz83O//m9L4kSJpU/P7nI77H8THL3DXBXwDZruV8s/7emyvPPgOfLFks3R2oeOLujY/EkZ07e5BCRLKifOXJbvVu6UcZ8tt7ZJkiSRGe5YKCi7hN25K2u3/S21OrxvBQ7wHZQYuEvk8MO8FhkD2EHGit283QTA427umOLR/W85fCXWz30i//2h2v7G6xkDdfnyZdmyZYucPXvWDIMLr127dl5rFwDAv5Ew8MHAYMmSJdKmTRsJCQkx49/D1xvozwQGAACPITLwveGKffr0kY4dO5rAQDMHly5dsm5cihkA4Oniw9j+81dezxj8+++/0r17d+siPAAAxBeKD30wY1C/fn3Ztm2bt5sBALAhJjjykYzB999/b/3cqFEj6devn/z1119SsmRJM9d+eE2aNPFCCwEAsCevDFfUuQqiQ4sP7969G+P9M1wRdsBwRdiBp4cr/n409he0KhfkesE4f+GVrgQdkhidW2yCAgAAfK34cOjQoeZkN/ytSJEi1vpbt25J165dJXPmzGbW2BYtWsiZM2dc9nHs2DGTZdeavGzZspls+507d/ynxmDlypVSrFgxtwvuqCtXrpirK/72229eaRsAwD7Fh7G9xZQe106dOmXd1q1bZ63r1auXGb7/1VdfyZo1a+TkyZPSvPn9GWWVnihrUHD79m3ZsGGDzJ49W2bNmiWDBw8WvwkMdCrkzp07m7kLItIrJL722msyfvx4r7QNAGAP8Vl8mDRpUsmRI4d1y5Ili3UyPGPGDHPMq127tpQvX15mzpxpAoBNmzaZbX755RdTi6fXECpTpow0aNBARowYIVOnTjXBgl8EBn/88Yc888wzUa6vV6+ebN++PV7bBACwmUeIDEJDQ03WO/xNl0XlwIEDkjNnTsmfP7+Z2E+7BpQe6/SS9XXr1rW21W6GPHnyyMaNG81jvdcC/ezZs7uM6tPX3LNnj38EBtp3EnEEQsTI6tz/rt4HAICvCQ4ONhnu8DddFhm9MKCm/pctWybTpk2TI0eOSLVq1czVhE+fPi3JkyeXDBkyuDxHgwBdp/Q+fFDgXO9c5xcTHOXKlUv+/PNPKVCgQKTrd+3aJYGBgfHeLgCAfTzKDIYDBgyQ3r17uywLCAiIdFtN/TuVKlXKBApBQUGycOFCSZkypfgSr2UMGjZsKIMGDTKVmBHdvHlThgwZIs8++6xX2gYAsIdHKT4MCAgwdXLhb1EFBhFpdqBQoUJy8OBBU2+gdQJ6WYCImXVdp/Q+4igF52PnNgk+MHjnnXfMtRD0gxkzZox899135jZ69GgpXLiwWTdw4EBvNQ8AYAPemvkwJCREDh06ZDLjWmyoXesrVqyw1u/fv9/UIFSpUsU81vvdu3ebqxA7LV++3AQjOsLPL7oStG9EKy67dOli0jHOeZZ0bKcWVGilZcT+FAAA4lQ8zW3ct29fady4sek+0KGImhVPkiSJtGrVytQmdOrUyXRLZMqUyRzs33jjDRMMVK5c2SrI1wCgbdu25mRa6wr0BFvnPohuliJBXERJP6Aff/zRXElR0ykaHBQsWFAyZszozWYBAGwivq6SeOLECRMEXLhwQbJmzSpPPfWUGYqoP6sJEyaYWYF1YiMd2aAnyB9++KH1fA0ili5dak6mNWBInTq1tG/fXoYPH+4fUyJ7GlMiww6YEhl24Okpkff8ez3Wzy2eK7X4I69fdhkAAG/hssvuCAwAALZFXOCOwAAAYF9EBm4IDAAAthVfxYcJCYEBAMC2qDHwoQmOAACA7yFjAACwLRIG7ggMAAD2RWTghsAAAGBbFB+6IzAAANgWxYfuCAwAALZFXOCOUQkAAMBCxgAAYF+kDNwQGAAAbIviQ3cEBgAA26L40B2BAQDAtogL3BEYAADsi8jADaMSAACAhYwBAMC2KD50R2AAALAtig/dERgAAGyLuMAdgQEAwLbIGLgjMAAA2BiRQUSMSgAAABYyBgAA26IrwR2BAQDAtogL3BEYAABsi4yBOwIDAIBtMcGROwIDAIB9ERe4YVQCAACwkDEAANgWCQN3BAYAANui+NAdgQEAwLYoPnRHYAAAsC/iAjcEBgAA2yIucMeoBAAAYCFjAACwLYoP3REYAABsi+JDdwQGAADbImPgjhoDAABgIWMAALAtMgbuyBgAAAALGQMAgG1RfOiOwAAAYFt0JbgjMAAA2BZxgTsCAwCAfREZuKH4EAAAWMgYAABsi+JDdwQGAADbovjQHYEBAMC2iAvcERgAAOyLyMANgQEAwLaoMXDHqAQAAGAhYwAAsC2KD90lcjgcjkiWA9EWGhoqwcHBMmDAAAkICPB2cwCP4HsOuyAwwCO7evWqpE+fXq5cuSLp0qXzdnMAj+B7DrugxgAAAFgIDAAAgIXAAAAAWAgM8Mi0EGvIkCEUZMGv8T2HXVB8CAAALGQMAACAhcAAAABYCAwAAICFwAAesXr1akmUKJFcvnzZ200BHkq/q4sXL/Z2MwCfQGCQwHXo0MH8URs1apTLcv0jp8tjIm/evDJx4sRobbtjxw554YUXJHv27JIiRQopWLCgdO7cWf7+++8YvSYQH06fPi1vvPGG5M+f34wqyJ07tzRu3FhWrFjh7aYBPofAwA/ogXn06NFy6dKleHm9pUuXSuXKlc3c8XPnzpW9e/fKF198YaaLHTRokEdf+/bt2x7dP/zPP//8I+XLl5eVK1fK2LFjZffu3bJs2TKpVauWdO3a1WOvy3cVCZYOV0TC1b59e8ezzz7rKFKkiKNfv37W8kWLFukwVJdtv/76a0exYsUcyZMndwQFBTnGjRtnratRo4bZPvwtMtevX3dkyZLF0axZs0jXX7p0ydyvWrXK7OPXX391lC9f3pEyZUpHlSpVHPv27XNpe9OmTV2e36NHD9OW8O3q2rWrWZ45c2ZHzZo1o7VvwKlBgwaOXLlyOUJCQqL8vur36ZNPPjHfa/0+FShQwPHdd99Z282cOdORPn16l+dG/D82ZMgQR+nSpc1+8ubN60iUKFG09g34GjIGfiBJkiQycuRImTx5spw4cSLSbbZv3y4tW7aUl156yZwxDR061Jzdz5o1y6z/9ttv5bHHHpPhw4fLqVOnzC0yP//8s5w/f17efPPNSNdnyJDB5fHAgQPl/fffl23btknSpEmlY8eOMX5/s2fPluTJk8v69etl+vTpcbpv+LeLFy+a7IBmBlKnTv3A7+uwYcPM/5Fdu3ZJw4YNpU2bNub5MXHw4EH55ptvzP+nnTt3xum+gfhCYOAnnnvuOSlTpoyZmS0y48ePlzp16phgoFChQqY2oVu3bia1qjJlymQCjLRp00qOHDnMLTIHDhww90WKFIlWu9577z2pUaOGFCtWTN566y3ZsGGD3Lp1K0bvTesXxowZI4ULFza3uNw3/JseqPWkPTrfV/0/0apVKylQoIAJtENCQmTLli0x7j74/PPPpWzZslKqVKk43TcQXwgM/IjWGejZtfb5R6TLqlat6rJMH+uB/u7du9F+jZhOlBn+j2NgYKC5P3v2bIz2of3Dnto3/FtMvq/hv0+aXdBLK8f0+xQUFCRZs2b1yL6B+EJg4EeqV68u9evXlwEDBnjsNTTboPbt2xet7ZMlS2b97Bwlce/ePXOfOHFitz/cYWFhbvuILAX8sH0DzmyTfjei830N/31S+jxPfFcj7hvwNQQGfkaHLS5ZskQ2btzosrxo0aKmjz48fawHeu1CUNqP/7DsQb169SRLliwmtR+ZmMxboGdWEWsZwvfLAo9Ku8g0WJ46dapcv3491t9X/a5eu3bNZR98V+GvCAz8TMmSJU1h06RJk1yW9+nTx4zZHjFihJlrQLscpkyZIn379nWZx2Dt2rXy77//mgLDyOgZ0aeffio//PCDNGnSRH799VczHEwLALUg8fXXX492W2vXrm2ep32y2qWh9RF//vnnI7x7wJ0GBRrwPvHEE6YwUL9r2rWm/0eqVKkSrX1UqlRJUqVKJW+//bYcOnRI5s2bZxXuAv6GwMAP6ciCiGnKcuXKycKFC+XLL7+UEiVKyODBg812WhQV/nl6kH/88ccj7Sd1atq0qSn00/Ro69atTWGXFlZduXJF3n333Wi3U8/ktBhSA4qKFSuaM7J27drF8l0DkdNJjX7//Xczb4EGyPr9f/rpp02gPG3atGhnHnSujh9//NEE3/PnzzcjewB/xGWXAQCAhYwBAACwEBgAAAALgQEAALAQGAAAAAuBAQAAsBAYAAAAC4EBAACwEBgAAAALgQGQAOgMlc2aNbMe16xZU3r27Bnv7Vi9erW5AFBMrokBIGEhMAAe8YCtB0q96UWoChQoYKaWvnPnjkdf99tvvzXXvYgODuYAYiJpjLYG4OaZZ56RmTNnSmhoqJlLv2vXruY6EhEvf3379m0TPMQFnbsfADyBjAHwiAICAiRHjhwSFBQkXbp0kbp168r3339vpf/fe+89yZkzpxQuXNhsf/z4cWnZsqVkyJDBHOD1olR68SonvRJg7969zfrMmTObi0xFvKRJxK4EDUr69+8vuXPnNu3RzMWMGTPMfvXiQSpjxowmc+C8cJZeaCs4OFjy5csnKVOmlNKlS8vXX3/t8joa6OiluXW97id8OwH4JwIDII7pQVSzA0qv4Ld//35Zvny5LF26VMLCwsxVJdOmTSu//fabrF+/XtKkSWOyDs7nvP/+++aSvp999pmsW7dOLl68KIsWLXrga+pVKfWKf3opYb2k8EcffWT2q4GCXmpYaTtOnTolH3zwgXmsQYFe8nr69OmyZ88e6dWrl/znP/+RNWvWWAFM8+bNpXHjxrJz50555ZVX5K233vLwpwfA6/TqigBip3379o6mTZuan+/du+dYvny5IyAgwNG3b1+zLnv27I7Q0FBr+zlz5jgKFy5stnXS9SlTpnT8/PPP5nFgYKBjzJgx1vqwsDDHY489Zr2OqlGjhqNHjx7m5/3792s6wbx2ZFatWmXWX7p0yVp269YtR6pUqRwbNmxw2bZTp06OVq1amZ8HDBjgKFasmMv6/v37u+0LgH+hxgB4RJoJ0LNzzQZoer5169YydOhQU2tQsmRJl7qCP/74Qw4ePGgyBuHdunVLDh06JFeuXDFn9ZUqVbLWJU2aVCpUqODWneCkZ/NJkiSRGjVqRLvN2oYbN27I008/7bJcsxZly5Y1P2vmIXw7VJUqVaL9GgASJgID4BFp3/u0adNMAKC1BHogd0qdOrXLtiEhIVK+fHmZO3eu236yZs0a666LmNJ2qB9++EFy5crlsk5rFADYF4EB8Ij04K/FftFRrlw5WbBggWTLlk3SpUsX6TaBgYGyefNmqV69unmsQx+3b99unhsZzUpopkJrA7TwMSJnxkKLGp2KFStmAoBjx45FmWkoWrSoKaIMb9OmTdF6nwASLooPgXjUpk0byZIlixmJoMWHR44cMfMMdO/eXU6cOGG26dGjh4waNUoWL14s+/btk//+978PnIMgb9680r59e+nYsaN5jnOfCxcuNOt1tISORtAuj3PnzplsgXZl9O3b1xQczp4923Rj/P777zJ58mTzWL3++uty4MAB6devnylcnDdvnimKBODfCAyAeJQqVSpZu3at5MmTx1T861l5p06dTI2BM4PQp08fadu2rTnYa5++HsSfe+65B+5XuzKef/55E0QUKVJEOnfuLNevXzfrtKtg2LBhZkRB9uzZpVu3bma5TpA0aNAgMzpB26EjI7RrQYcvKm2jjmjQYEOHMurohZEjR3r8MwLgXYm0AtHLbQAAAD6CjAEAALAQGAAAAAuBAQAAsBAYAAAAC4EBAACwEBgAAAALgQEAALAQGAAAAAuBAQAAsBAYAAAAC4EBAAAQp/8DecpEnmODidUAAAAASUVORK5CYII=", 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MjMq8R7dv3xYaNWoktG/fXlCr1U89ho4dO5a5+qG8fT4ZT3JystC7d2/B1tZWMDU1FRo0aCD07t1b0+7BgwfCBx98ILRu3VqwtrYWzM3NhRYtWgiRkZFCfn6+Zjt37twRBg0aJNSrV0+QyWRaV4U8+flX9LmUd7XDgwcPhIkTJwqOjo5CnTp1hFdffVU4evSooFAohI8//lhr/YsXLwoAhE2bNj31vSKqabxlLxFVu02bNmHIkCG4evUqGjRoIHY4BpWSkoIOHTrgm2++QXBwsKZ8+vTp+Prrr3Hp0qUKZ/0TiYGJn4iqnSAI8Pf3h4+PDxYvXix2ONVm7969OHr0KHx8fGBubo7ff/8dc+fOhUKhwKlTpzQTUe/evYumTZsiLi4Ow4YNEzlqIm38GUpE1U4mk2HlypXYtm0bSkpK9L517/PK2toae/bswcKFC3H//n3Y29ujZ8+eiImJ0SR9AMjMzERERITWCADR84I9fiIiIgl5MX6GExERkU6Y+ImIiCSEiZ+IiEhCmPiJiIgk5IWc1W/ecYbYIRAZ3I3dkWKHQGRwNha6P+ypMsy9x1d63YITtfNS1Rcy8RMREelEJr2BbyZ+IiKSLgk+R4GJn4iIpEuCPX7pHTEREZGEscdPRETSxaF+IiIiCZHgUD8TPxERSRd7/ERERBLCHj8REZGESLDHL72fOkRERBLGHj8REUkXh/qJiIgkRIJD/Uz8REQkXezxExERSQh7/ERERBIiwR6/9I6YiIhIwtjjJyIi6ZJgj5+Jn4iIpMuI5/iJiIikgz1+IiIiCeGsfiIiIgmRYI9fekdMREQkYezxExGRdHGon4iISEIkONTPxE9ERNLFHj8REZGEsMdPREQkIRLs8Uvvpw4REZGEscdPRETSxaF+IiIiCZHgUD8TPxERSZcEe/zSO2IiIqJSMqPKL3po0qQJZDJZmWXcuHEAAEEQEBUVBWdnZ5ibm6Nz5844c+aM1jbUajUmTJgAe3t7WFpaol+/frh+/breh8zET0RE0iWTVX7RQ2pqKrKysjTL3r17AQBvvvkmACA2Nhbz58/H4sWLkZqaCqVSie7du+P+/fuabYSFhWHLli1ISkrCkSNHkJeXhz59+qC4uFivWJj4iYiIDMzBwQFKpVKz7NixA82aNUNAQAAEQcDChQsxbdo0DBw4EJ6enkhMTMS///6L9evXAwByc3MRHx+PL774At26dYO3tzfWrVuH06dPY9++fXrFwsRPRETSVYWhfrVajXv37mktarX6mbssLCzEunXrMHLkSMhkMmRmZkKlUiEoKEjTRi6XIyAgACkpKQCA9PR0FBUVabVxdnaGp6enpo2umPiJiEi6qjDUHxMTA4VCobXExMQ8c5dbt27F3bt3ERoaCgBQqVQAACcnJ612Tk5OmjqVSgUzMzPY2NhU2EZXnNVPRETSVYVZ/REREZg4caJWmVwuf+Z68fHx6NmzJ5ydnbVDeWLegCAIZcqepEubJzHxExGRdFXhOn65XK5Ton/c1atXsW/fPmzevFlTplQqATzq1devX19Tnp2drRkFUCqVKCwsRE5OjlavPzs7G/7+/nrFwKF+IiKSrPIusdN1qYw1a9bA0dERvXv31pS5urpCqVRqZvoDj+YBJCcna5K6j48PTE1NtdpkZWUhIyND78TPHj8REVENKCkpwZo1axASEgITk/+lX5lMhrCwMERHR8PNzQ1ubm6Ijo6GhYUFgoODAQAKhQKjRo1CeHg47OzsYGtri0mTJsHLywvdunXTKw4mfiIikqzK9twrY9++fbh27RpGjhxZpm7KlCkoKCjA2LFjkZOTA19fX+zZswdWVlaaNgsWLICJiQkGDx6MgoICBAYGIiEhAcbGxnrFIRMEQajy0TxnzDvOEDsEIoO7sTtS7BCIDM7GQr+kpi/LN9dUet3870ZUYyQ157np8RcWFiI7OxslJSVa5Y0aNRIpIiIietHVZI//eSF64r9w4QJGjhxZ5gYEpZco6HsrQiIiIl0x8YsgNDQUJiYm2LFjB+rXry/JD4GIiMQhxZwjeuI/efIk0tPT0bJlS7FDISIieuGJnvg9PDxw69YtscMgIiIJkmKPX/Qb+MybNw9TpkzBoUOHcPv27TIPPCAiIjIYWRWWWkr0Hn/pjQcCAwO1yjm5j4iIDE2KPX7RE//BgwfFDoGIiCSKib+GFRUVISoqCsuXL4e7u7uYoRARkQRJMfGLeo7f1NQUGRkZknzjiYiIxCD65L7hw4cjPj5e7DCIiEiCavrpfM8D0c/xFxYWYtWqVdi7dy/atWsHS0tLrfr58+eLFBkREb3wam/+rjTRE39GRgbatm0LADh//rxWXW3+RUVERM8/KeYZ0RM/Z/UTEZFYmPiJiIgkhIlfBF26dHnqG3/gwIEajIaIiOjFJnrif/nll7VeFxUV4eTJk8jIyEBISIg4QRERkTRIr8MvfuJfsGBBueVRUVHIy8ur4WiIiEhKpDjUL/p1/BV5++23sXr1arHDICKiFxiv43+OHD16FHXq1BE7DCIieoHV5gReWaIn/oEDB2q9FgQBWVlZSEtLw/Tp00WKioiIpICJXwQKhULrtZGREVq0aIFZs2YhKChIpKiIiIheTKIn/jVr1ogdAhERSZX0OvziJ/5ShYWFyM7ORklJiVZ5o0aNRIqIiIhedBzqF8H58+cxatQopKSkaJULggCZTIbi4mKRIiMiohcdE78IRowYARMTE+zYsQP169eX5IdARETikGLOET3xnzx5Eunp6WjZsqXYoRAREb3wRE/8Hh4euHXrlthhEBGRFEmvwy9O4r93757m73nz5mHKlCmIjo6Gl5cXTE1NtdpaW1vXdHgE4I+NH6NxfZsy5cs2/4qPF/yIFZ+8jnd6emvVHT/zFwI+WKl5vXvRCHTydtVq893+0xge9Z1hgiaqopXLFiN++RKtMls7O+zc9zMAYNaMT7Bz+1at+lZerRH/dVJNhUjVjEP9NaRevXpab7YgCAgMDNRqw8l94vrP+8thbPS/Ozp7uDpi58JQbD54RlO2+9gFjI7ZonldWFT2s4rflobZ8f97wmKBushAERNVj6bNmiNuWbzmtZGRsVb9q/7/wfSZn2pemzzRWaHapSYT/99//42pU6fip59+QkFBAdzd3REfHw8fHx8Aj/LezJkzsWLFCuTk5MDX1xdfffUVWrVqpdmGWq3GpEmTsGHDBhQUFCAwMBBLlixBw4YNdY5DlMR/8OBBMXZLerh191+t15OGdcSl67fx88krmrLCoof4587TH6RU8KDomW2InifGxsaws3eosN7MzOyp9VS71FTiz8nJQYcOHdClSxf89NNPcHR0xKVLl1CvXj1Nm9jYWMyfPx8JCQlwd3fHnDlz0L17d/z555+wsrICAISFhWH79u1ISkqCnZ0dwsPD0adPH6Snp8PY2LiCvWsTJfEHBASIsVuqJFMTY7wV1BqLNh7VKu/4chNc3TYFuXkP8PPJK4hasR837+ZrtRkS1BpvBbVGdk4+9hy7gE/XHEReQWFNhk+kl7+uXUOf7gEwNTNDK8/WGDMhDA0aumjqf0tLRc+u/0FdKyt4+7THB+M/gq2tnYgRU1XUVOKfN28eXFxctG5a16RJE83fgiBg4cKFmDZtmuZW9omJiXBycsL69esxevRo5ObmIj4+HmvXrkW3bt0AAOvWrYOLiwv27duHHj166BSLaE/nu3DhAoYOHap1vr9Ubm4ugoODcfnyZREioyf169gS9erWwbqdJzRle45dwIjZm9DzowT8d/Fu+LRsgJ++DIWZ6f9+cSbtPYWQqO/Q48M1mJt4CAMCPJD06VAxDoFIJ608W2PG7BgsXLISEdNn4vbtW3gvNBi5d+8CAPw6dMTM6FgsXrEGH06cgnNnTmP8+yNQWMgfs1KkVqtx7949rUWtVpfbdtu2bWjXrh3efPNNODo6wtvbGytX/m9OVGZmJlQqldat6uVyOQICAjT3uUlPT0dRUZFWG2dnZ3h6epa5F87TiJb4P/vsM7i4uJQ7eU+hUMDFxQWfffbZM7dT3hsvlDw0RMiSFdLHB7t/vYis2/c1Zd8fyMCuo+dxNjMbO1P+xIDJa+HmYoeefu6aNmu2p+Ng+mWczczGd/szEDw9CYHtm+Fl9/piHAbRM/n/pxO6dgtCczd3vPKqP+bHLQUA/Pj/J/R179ETHToGoFlzN3QM6IIFi1fg2tUr+OXnZBGjpiqRVX6JiYmBQqHQWmJiYsrdzeXLl7F06VK4ublh9+7d+OCDD/Dhhx/i66+/BgCoVCoAgJOTk9Z6Tk5OmjqVSgUzMzPY2NhU2EYXoiX+w4cP480336ywfvDgwThw4ECF9aXKe+Mf/vVLdYYqaY2cFOjq0xQJO9Kf2k51Ow/XVLlo3rDiIc8T57NQWPTwqW2Inifm5hZo1twdf127Wm69vYMDlPWdK6yn559MJqv0EhERgdzcXK0lIiKi3P2UlJSgbdu2iI6Ohre3N0aPHo333nsPS5cuLRPP40onuj+NLm0eJ1riv3r1KhwdHSust7e3x19//fXM7ZT3xpu4dKjOUCXtnV5tkX03Hz8dPf/UdrbW5mjoaK01KvAkD1dHmJmaPLUN0fOksLAQVzIvw76CyXy5d+8i+x9VhfX0/KtK4pfL5bC2ttZa5HJ5ufupX78+PDw8tMpeeuklXLt2DQCgVCoBoEzPPTs7WzMKoFQqUVhYiJycnArb6EK0xK9QKHDp0qUK6y9evKjTNfzlvfEyI9HvS/RCkMlkGN7LG9/8dBLFxf97eJKluRlixvaAbysXNFLWQ8eXm2DT3GG4nfsvth0+BwBwdbZBRGhntG3hjEbKeujxqhu+mTUEJ87fwNHT18Q6JKKnWjQ/Fr+lpeLG39eRcfp3REwOQ35+Hnr17Y9//83HovmxOP37Sdy48TfS045j0kdjoahng4Cu3cQOnSpJJqv8oo8OHTrgzz//1Co7f/48GjduDABwdXWFUqnE3r17NfWFhYVITk6Gv78/AMDHxwempqZabbKyspCRkaFpowvRMmSnTp0QFxeHrl27llu/aNEidOzYsYajosd1bdcUjZT1kLjzN63y4uIStGrmhODX2qBe3TpQ3c5D8olMvBO1UTNjv+hhMbr4NMW4Qa+irrkZrmfnYtfR8/h0zSGUlAhiHA7RM2X/8w9mREzC3bs5sLGxRSuvNohP3ID6zg3w4MEDXLp4AT/t2Ib79+/B3t4Bbdv7Ys68L2BpaSl26FRJNTWr/+OPP4a/vz+io6MxePBgHD9+HCtWrMCKFSs0cYSFhSE6Ohpubm5wc3NDdHQ0LCwsEBwcDOBRh3nUqFEIDw+HnZ0dbG1tMWnSJHh5eWlm+etCJgiCKP8KnzhxAn5+fujTpw+mTJmCFi1aAAD++OMPxMbG4scff0RKSgratm2r97bNO86o7nCJnjs3dkeKHQKRwdlY6HZtemW5Td5V6XUvfPaaXu137NiBiIgIXLhwAa6urpg4cSLee+89TX3pDXyWL1+udQMfT09PTZsHDx5g8uTJWL9+vdYNfFxcXMrbZblES/zAozdh5MiRuH37tla5nZ0dVq1ahX79+lVqu0z8JAVM/CQFhk787lMqn/jPx+qX+J8Xop4M79OnD65evYpdu3bh4sWLEAQB7u7uCAoKgoWFhZihERGRBPBe/SIwNzfH66+/LnYYREQkQRLM++InfiIiIrEYGUkv8zPxExGRZEmxxy/adfxERERU89jjJyIiyZLi5D7Re/zGxsbIzs4uU3779m2dny1MRERUGTV1577nieg9/opuI6BWq2FmZlbD0RARkZRIsccvWuJftGgRgEdv+qpVq1C3bl1NXXFxMQ4fPoyWLVuKFR4REUkAE38NWrBgAYBHPf5ly5ZpDeubmZmhSZMmWLZsmVjhERGRBEgw74uX+DMzMwEAXbp0webNm2FjYyNWKERERJIh+jn+gwcPav4uPd8vxaEXIiKqeVLMN6LP6geAr7/+Gl5eXjA3N4e5uTlat26NtWvXih0WERG94DirXwTz58/H9OnTMX78eHTo0AGCIOCXX37BBx98gFu3buHjjz8WO0QiInpBSbHHL3rij4uLw9KlSzF8+HBNWf/+/dGqVStERUUx8RMRkcFIMO+Ln/izsrLg7+9fptzf3x9ZWVkiRERERFIhxR6/6Of4mzdvjo0bN5Yp//bbb+Hm5iZCRERERC8u0Xv8M2fOxJAhQ3D48GF06NABMpkMR44cwf79+8v9QUBERFRdJNjhFz/xv/HGG/j111+xYMECbN26FYIgwMPDA8ePH4e3t7fY4RER0QtMikP9oid+APDx8cG6devEDoOIiCRGgnn/+Uj8REREYmCPvwYZGRk98w2XyWR4+PBhDUVERERSI8G8L17i37JlS4V1KSkpiIuLq/CRvURERFQ5oiX+/v37lyn7448/EBERge3bt2PYsGGYPXu2CJEREZFUSHGoX/Tr+AHgxo0beO+999C6dWs8fPgQJ0+eRGJiIho1aiR2aERE9AKT4r36RU38ubm5mDp1Kpo3b44zZ85g//792L59Ozw9PcUMi4iIJEImk1V6qa1EG+qPjY3FvHnzoFQqsWHDhnKH/omIiAypNifwyhIt8f/3v/+Fubk5mjdvjsTERCQmJpbbbvPmzTUcGRERSYUE8754iX/48OGS/KVFREQkJtESf0JCgli7JiIiAlBzQ/1RUVGYOXOmVpmTkxNUKhUAQBAEzJw5EytWrEBOTg58fX3x1VdfoVWrVpr2arUakyZNwoYNG1BQUIDAwEAsWbIEDRs21CuW52JWPxERkRhqclZ/q1atkJWVpVlOnz6tqYuNjcX8+fOxePFipKamQqlUonv37rh//76mTVhYGLZs2YKkpCQcOXIEeXl56NOnD4qLi/WKg7fsJSIiyarJU84mJiZQKpVlygVBwMKFCzFt2jQMHDgQAJCYmAgnJyesX78eo0ePRm5uLuLj47F27Vp069YNALBu3Tq4uLhg37596NGjh85xsMdPRESSVZUev1qtxr1797QWtVpd4b4uXLgAZ2dnuLq64q233sLly5cBAJmZmVCpVAgKCtK0lcvlCAgIQEpKCgAgPT0dRUVFWm2cnZ3h6empaaMrJn4iIpIsI5ms0ktMTAwUCoXWEhMTU+5+fH198fXXX2P37t1YuXIlVCoV/P39cfv2bc15ficnJ611Hp8DoFKpYGZmBhsbmwrb6IpD/URERJUQERGBiRMnapXJ5fJy2/bs2VPzt5eXF/z8/NCsWTMkJibi1VdfBVD2tIMgCM88FaFLmyexx09ERJJVlaF+uVwOa2trraWixP8kS0tLeHl54cKFC5rz/k/23LOzszWjAEqlEoWFhcjJyamwja6Y+ImISLLEumWvWq3GuXPnUL9+fbi6ukKpVGLv3r2a+sLCQiQnJ8Pf3x8A4OPjA1NTU602WVlZyMjI0LTRFYf6iYhIsoxqaFL/pEmT0LdvXzRq1AjZ2dmYM2cO7t27h5CQEMhkMoSFhSE6Ohpubm5wc3NDdHQ0LCwsEBwcDABQKBQYNWoUwsPDYWdnB1tbW0yaNAleXl6aWf66YuInIiLJqqnL+a5fv46hQ4fi1q1bcHBwwKuvvopjx46hcePGAIApU6agoKAAY8eO1dzAZ8+ePbCystJsY8GCBTAxMcHgwYM1N/BJSEiAsbGxXrHIBEEQqvXongPmHWeIHQKRwd3YHSl2CEQGZ2OhX1LTV+/lxyu97o+jX6nGSGoOz/ETERFJCIf6iYhIsmSQ3sPimPiJiEiyampy3/OEiZ+IiCRLio+HZ+InIiLJkmDeZ+InIiLpMpJg5uesfiIiIglhj5+IiCRLgh1+Jn4iIpIuTu4jIiKSEAnmfSZ+IiKSLilO7mPiJyIiyZJe2tcx8W/btk3nDfbr16/SwRAREZFh6ZT4BwwYoNPGZDIZiouLqxIPERFRjeHkvgqUlJQYOg4iIqIax3v1ExERSQh7/DrKz89HcnIyrl27hsLCQq26Dz/8sFoCIyIiMjQJ5n39E/+JEyfQq1cv/Pvvv8jPz4etrS1u3boFCwsLODo6MvETEVGtIcUev9736v/444/Rt29f3LlzB+bm5jh27BiuXr0KHx8ffP7554aIkYiIiKqJ3on/5MmTCA8Ph7GxMYyNjaFWq+Hi4oLY2Fh88sknhoiRiIjIIIxklV9qK70Tv6mpqWZoxMnJCdeuXQMAKBQKzd9ERES1gUwmq/RSW+l9jt/b2xtpaWlwd3dHly5dMGPGDNy6dQtr166Fl5eXIWIkIiIyiNqbvitP7x5/dHQ06tevDwCYPXs27OzsMGbMGGRnZ2PFihXVHiAREZGhGMlklV5qK717/O3atdP87eDggJ07d1ZrQERERGQ4vIEPERFJVi3uuFea3onf1dX1qZMaLl++XKWAiIiIakptnqRXWXon/rCwMK3XRUVFOHHiBHbt2oXJkydXV1xEREQGJ8G8r3/i/+ijj8ot/+qrr5CWllblgIiIiGpKbZ6kV1l6z+qvSM+ePbFp06bq2hwREZHByWSVX2qrakv833//PWxtbatrc0RERC+kmJgYyGQyrVPngiAgKioKzs7OMDc3R+fOnXHmzBmt9dRqNSZMmAB7e3tYWlqiX79+uH79ut77r9QNfB6fDCEIAlQqFW7evIklS5boHQAREZFYanpyX2pqKlasWIHWrVtrlcfGxmL+/PlISEiAu7s75syZg+7du+PPP/+ElZUVgEdz7LZv346kpCTY2dkhPDwcffr0QXp6OoyNjXWOQe/E379/f603ysjICA4ODujcuTNatmyp7+YMIufgLLFDIDI4m/bjxQ6ByOAKTiw26ParbdhbB3l5eRg2bBhWrlyJOXPmaMoFQcDChQsxbdo0DBw4EACQmJgIJycnrF+/HqNHj0Zubi7i4+Oxdu1adOvWDQCwbt06uLi4YN++fejRo4fOceid+KOiovRdhYiI6LlUlR6/Wq2GWq3WKpPL5ZDL5eW2HzduHHr37o1u3bppJf7MzEyoVCoEBQVpbScgIAApKSkYPXo00tPTUVRUpNXG2dkZnp6eSElJ0Svx6/1jx9jYGNnZ2WXKb9++rddQAxERkdiq8nS+mJgYKBQKrSUmJqbc/SQlJeG3334rt16lUgF49OC7xzk5OWnqVCoVzMzMYGNjU2EbXend4xcEodxytVoNMzMzfTdHREQkmqo8XjciIgITJ07UKiuvt//XX3/ho48+wp49e1CnTp0Kt/fk6IMgCM8ckdClzZN0TvyLFi3SBLZq1SrUrVtXU1dcXIzDhw8/N+f4iYiIDO1pw/qPS09PR3Z2Nnx8fDRlpXlz8eLF+PPPPwE86tWXPgQPALKzszWjAEqlEoWFhcjJydHq9WdnZ8Pf31+vuHVO/AsWLADw6NfFsmXLtIb1zczM0KRJEyxbtkyvnRMREYmpJmb1BwYG4vTp01plI0aMQMuWLTF16lQ0bdoUSqUSe/fuhbe3NwCgsLAQycnJmDdvHgDAx8cHpqam2Lt3LwYPHgwAyMrKQkZGBmJjY/WKR+fEn5mZCQDo0qULNm/eXOY8AxERUW1TlaF+XVlZWcHT01OrzNLSEnZ2dprysLAwREdHw83NDW5uboiOjoaFhQWCg4MBAAqFAqNGjUJ4eDjs7Oxga2uLSZMmwcvLSzPLX1d6n+M/ePCgvqsQERE9l56XO/BNmTIFBQUFGDt2LHJycuDr64s9e/ZoruEHHo28m5iYYPDgwSgoKEBgYCASEhL0nlgvEyqarVeBQYMGoV27dvjvf/+rVf7ZZ5/h+PHj+O677/QKwBAePBQ7AiLD43X8JAWGvo7/vzvPV3rdub3cqzGSmqP35XzJycno3bt3mfLXXnsNhw8frpagiIiIaoJRFZbaSu/Y8/Lyyr1sz9TUFPfu3auWoIiIiMgw9E78np6e+Pbbb8uUJyUlwcPDo1qCIiIiqglSfDqf3pP7pk+fjjfeeAOXLl1C165dAQD79+/H+vXr8f3331d7gERERIZiVJszeCXpnfj79euHrVu3Ijo6Gt9//z3Mzc3Rpk0bHDhwANbW1oaIkYiIyCAkmPf1T/wA0Lt3b80Ev7t37+Kbb75BWFgYfv/9dxQXF1drgERERIZSE9fxP28qPTHxwIEDePvtt+Hs7IzFixejV69eSEtLq87YiIiIDMpIJqv0Ulvp1eO/fv06EhISsHr1auTn52Pw4MEoKirCpk2bOLGPiIioFtC5x9+rVy94eHjg7NmziIuLw40bNxAXF2fI2IiIiAyKs/qfYs+ePfjwww8xZswYuLm5GTImIiKiGsFz/E/x888/4/79+2jXrh18fX2xePFi3Lx505CxERERGZSsCv/VVjonfj8/P6xcuRJZWVkYPXo0kpKS0KBBA5SUlGDv3r24f/++IeMkIiKqdkayyi+1ld6z+i0sLDBy5EgcOXIEp0+fRnh4OObOnQtHR0f069fPEDESEREZBBO/nlq0aIHY2Fhcv34dGzZsqK6YiIiIyEAqdQOfJxkbG2PAgAEYMGBAdWyOiIioRshq8/T8SqqWxE9ERFQb1eYh+8pi4iciIsmSYIefiZ+IiKSrNt96t7KY+ImISLKkONRfpVn9REREVLuwx09ERJIlwZF+Jn4iIpIuo1p8693KYuInIiLJYo+fiIhIQqQ4uY+Jn4iIJEuKl/NxVj8REZGEsMdPRESSJcEOPxM/ERFJF4f6iYiIJEQmq/yij6VLl6J169awtraGtbU1/Pz88NNPP2nqBUFAVFQUnJ2dYW5ujs6dO+PMmTNa21Cr1ZgwYQLs7e1haWmJfv364fr163ofMxM/ERFJllEVFn00bNgQc+fORVpaGtLS0tC1a1f0799fk9xjY2Mxf/58LF68GKmpqVAqlejevTvu37+v2UZYWBi2bNmCpKQkHDlyBHl5eejTpw+Ki4v1ikUmCIKgZ/zPvQcPxY6AyPBs2o8XOwQigys4sdig209M+6vS64a0c6nSvm1tbfHZZ59h5MiRcHZ2RlhYGKZOnQrgUe/eyckJ8+bNw+jRo5GbmwsHBwesXbsWQ4YMAQDcuHEDLi4u2LlzJ3r06KHzftnjJyIiqgS1Wo179+5pLWq1+pnrFRcXIykpCfn5+fDz80NmZiZUKhWCgoI0beRyOQICApCSkgIASE9PR1FRkVYbZ2dneHp6atroiomfiIgkS1aFJSYmBgqFQmuJiYmpcF+nT59G3bp1IZfL8cEHH2DLli3w8PCASqUCADg5OWm1d3Jy0tSpVCqYmZnBxsamwja64qx+IiKSrKrM6o+IiMDEiRO1yuRyeYXtW7RogZMnT+Lu3bvYtGkTQkJCkJycrKmXPRGLIAhlyp6kS5snMfETEZFkVeViPrlc/tRE/yQzMzM0b94cANCuXTukpqbiyy+/1JzXV6lUqF+/vqZ9dna2ZhRAqVSisLAQOTk5Wr3+7Oxs+Pv76xU3h/qJiEiyaupyvvIIggC1Wg1XV1colUrs3btXU1dYWIjk5GRNUvfx8YGpqalWm6ysLGRkZOid+NnjJyIiydJ3mLyyPvnkE/Ts2RMuLi64f/8+kpKScOjQIezatQsymQxhYWGIjo6Gm5sb3NzcEB0dDQsLCwQHBwMAFAoFRo0ahfDwcNjZ2cHW1haTJk2Cl5cXunXrplcsTPxEREQG9s8//+Cdd95BVlYWFAoFWrdujV27dqF79+4AgClTpqCgoABjx45FTk4OfH19sWfPHlhZWWm2sWDBApiYmGDw4MEoKChAYGAgEhISYGxsrFcsvI6fqJbidfwkBYa+jv/bE39Xet0h3g2qMZKawx4/ERFJVk0N9T9PmPiJiEiypJf2mfiJiEjC2OMnIiKSECle0y7FYyYiIpIs9viJiEiyONRPREQkIdJL+0z8REQkYRLs8DPxExGRdBlJsM/PxE9ERJIlxR4/Z/UTERFJyHPR47979y6OHz+O7OxslJSUaNUNHz5cpKiIiOhFJ+NQf83bvn07hg0bhvz8fFhZWWldWiGTyZj4iYjIYDjUL4Lw8HCMHDkS9+/fx927d5GTk6NZ7ty5I3Z4RET0AjOCrNJLbSV6j//vv//Ghx9+CAsLC7FDISIiiWGPXwQ9evRAWlqa2GEQEZEEyWSVX2or0Xv8vXv3xuTJk3H27Fl4eXnB1NRUq75fv34iRUZERPTikQmCIIgZgJFRxYMOMpkMxcXFem/zwcOqRERUO9i0Hy92CEQGV3BisUG3v/fcrUqv2/0l+2qMpOaI3uN/8vI9IiKimmJUi4fsK0vUc/wPHz6EiYkJMjIyxAyDiIgkSlaF/2orUXv8JiYmaNy4caWG84mIiKqqNk/SqyzRZ/X/3//9HyIiInjNPhERUQ0Q/Rz/okWLcPHiRTg7O6Nx48awtLTUqv/tt99EioyIiF50tXnIvrJET/wDBgwQOwTSUXpaKhJWx+Pc2QzcvHkTCxZ9ha6B3TT1bVq1KHe9j8MnI3TkuzUVJpHO/vhxJho725UpX/btYXw8dyMcba0w56P+6Ob3EhR1zXHkt4uYGPsdLl27CQCwsbbA9DG9EfhqSzR0ssHtu3nYfugUZi7ZgXt5D2r6cKgSpDi5T/TEHxkZKXYIpKOCgn/RokUL9H99IMLDJpSp33/oiNbrI0cOI2r6NHTr3qOmQiTSy3/e/gzGj/3L79HcGTuXTcDmvScAABsXvI+ih8V4M2w57uU/wIdvd8XOZRPgPXAO/n1QiPoOCtR3UCBiwRacu6xCo/q2iJv2Fuo7KBA8OV6swyI9sMdP9BT/6RiA/3QMqLDe3sFB6/WhA/vR/hVfNHRxMXRoRJVyKydP6/WkEZ64dO0mfk6/gOaNHOHb2hVt35iDc5dVAICPYr7Ftf1zMbinDxK2HMXZS1kYOmmVZv3M67cQtXg7Vn86HMbGRigu5uXKzztO7hMjACMjGBsbV7hQ7XT71i38fDgZrw8cJHYoRDoxNTHGW73aI/GHowAAudmjftGDwv/dEaykREBh0UP4v9yswu1YW9XBvfwHTPq1hKwKS20leo9/y5YtWq+Liopw4sQJJCYmYubMmSJFRVW17YctsLCwRGD3ILFDIdJJvy6tUc/KHOu2/woA+POKCldv3MbsCf0wfs4G5BcU4qN3uqK+gwJKe0W527BVWCLivZ6I//6XmgydSC+iJ/7+/fuXKRs0aBBatWqFb7/9FqNGjXrq+mq1Gmq1WqtMMJZDLpdXa5ykn61bNqFXn778HKjWCBngj92/nEXWzVwAwMOHJRg6aRWWRg5D1uHP8PBhMQ78+id2HTlT7vpWlnWwZdEHOHc5C5+u2FmToVMVGElwrF/0of6K+Pr6Yt++fc9sFxMTA4VCobV8Ni+mBiKkivyWnoYrmZkY+MabYodCpJNG9W3Q1bcFEramaJWfOPcXXn1rLpw6ToJr0DT0H78EdgpLXPn7tla7uhZybPtqLPIK1BgycSUePuQwf21RU0P9MTExaN++PaysrODo6IgBAwbgzz//1GojCAKioqLg7OwMc3NzdO7cGWfOaP/QVKvVmDBhAuzt7WFpaYl+/frh+vXresXyXCb+goICxMXFoWHDhs9sGxERgdzcXK1l8tSIGoiSKrJl0/fwaNUKLVq2FDsUIp28088P2Xfu46efy+/N38t7gFs5eWjWyAFtPRphx6FTmjoryzrYsXQ8CouKMShsOdSFfEpYrVJDmT85ORnjxo3DsWPHsHfvXjx8+BBBQUHIz8/XtImNjcX8+fOxePFipKamQqlUonv37rh//76mTVhYGLZs2YKkpCQcOXIEeXl56NOnj153wBV9qN/Gxgayx4ZaBEHA/fv3YWFhgXXr1j1zfbm87LA+n85nGP/m5+PatWua139fv44/zp2DQqFAfWdnAEBeXh727NmF8MlTxQqTSC8ymQzD+7+Kb3b8WmZC3sBu3riZk4e/VHfg6eaMzycPwvZDp7D/2B8AHvX0dywZB/M6ZhgxLRHWlnVgbVkHAHAzJw8lJaI+/JR0UFOX8+3atUvr9Zo1a+Do6Ij09HR06tQJgiBg4cKFmDZtGgYOHAgASExMhJOTE9avX4/Ro0cjNzcX8fHxWLt2Lbp1e3QPlXXr1sHFxQX79u1Djx66XToteuJfuHCh1msjIyM4ODjA19cXNjY24gRF5TpzJgPvjhiuef157KNTKv36v47Z0XMBALt2/ggIAnr26iNKjET66urbAo3q2yJx67EydUoHa8wLHwhHOyuobt3DNzt+RcyK//0D7v1SI7zS2hUAcHZ7lNa6LXrNwLUs3or8eVeVU/zlzTErrzNantzcR3NJbG1tAQCZmZlQqVQICvrfhGi5XI6AgACkpKRg9OjRSE9PR1FRkVYbZ2dneHp6IiUlRefELxME4YX7ScoeP0mBTfvxYodAZHAFJxYbdPvHL+dWet2dXy8oc/VZZGQkoqKinrqeIAjo378/cnJy8PPPPwMAUlJS0KFDB/z9999w/v8jqADw/vvv4+rVq9i9ezfWr1+PESNGlPmxERQUBFdXVyxfvlynuEXv8QPA3bt3cfz4cWRnZ6OkRHuobfjw4RWsRUREVDVVGeiPiIjAxIkTtcp06e2PHz8ep06dwpEjR8rUyZ4YghAEoUzZk3Rp8zjRE//27dsxbNgw5Ofnw8rKSit4mUzGxE9ERIZThcyv67D+4yZMmIBt27bh8OHDWhPYlUolAEClUqF+/fqa8uzsbDg5OWnaFBYWIicnR+tUeHZ2Nvz9/XWOQfRZ/eHh4Rg5ciTu37+Pu3fvIicnR7PwUb1ERGRIsir8pw9BEDB+/Hhs3rwZBw4cgKurq1a9q6srlEol9u7dqykrLCxEcnKyJqn7+PjA1NRUq01WVhYyMjL0Svyi9/j//vtvfPjhh7CwsBA7FCIikpiaun/PuHHjsH79evzwww+wsrKCSvXo+Q8KhQLm5uaQyWQICwtDdHQ03Nzc4ObmhujoaFhYWCA4OFjTdtSoUQgPD4ednR1sbW0xadIkeHl5aWb560L0xN+jRw+kpaWhadOmYodCREQSU1P37Vu6dCkAoHPnzlrla9asQWhoKABgypQpKCgowNixY5GTkwNfX1/s2bMHVlZWmvYLFiyAiYkJBg8ejIKCAgQGBiIhIUGvZ9uIMqt/27Ztmr9v3ryJWbNmYcSIEfDy8oKpqalW2379+um9fc7qJyngrH6SAkPP6v/tyr1Kr9u2iXU1RlJzREn8Rka6TS2QyWR63Y2oFBM/SQETP0mBwRP/1Sok/sa1M/GLMtT/5CV7REREYqipO/c9T0Sb1X/gwAF4eHjg3r2yv7Zyc3PRqlUrzY0NiIiIDEEmq/xSW4mW+BcuXIj33nsP1tZlh0oUCgVGjx6N+fPnixAZERFJRU09ne95Ilri//333/Haa69VWB8UFIT09PQajIiIiCRHgplftMT/zz//lJnB/zgTExPcvHmzBiMiIiJ68YmW+Bs0aIDTp09XWH/q1Cmt2xYSERFVt5q6c9/zRLTE36tXL8yYMQMPHjwoU1dQUIDIyEj06cNHuxIRkeFIcXKfaI/l/eeff9C2bVsYGxtj/PjxaNGiBWQyGc6dO4evvvoKxcXF+O233zQPJ9AHr+MnKeB1/CQFhr6OP+N6XqXX9WxYtxojqTmi3bLXyckJKSkpGDNmDCIiIlD6+0Mmk6FHjx5YsmRJpZI+ERGRzmpxz72yRL1Xf+PGjbFz507k5OTg4sWLEAQBbm5uWo8bJCIiMpTafK6+skR/SA8A2NjYoH379mKHQURE9MJ7LhI/ERGRGGrzJL3KYuInIiLJkmDeZ+InIiIJk2DmZ+InIiLJ4uQ+IiIiCZHiOX7R7txHRERENY89fiIikiwJdviZ+ImISMIkmPmZ+ImISLI4uY+IiEhCpDi5j4mfiIgkS4J5n7P6iYiIpIQ9fiIiki4JdvmZ+ImISLI4uY+IiEhCOLmPiIhIQiSY95n4iYhIwiSY+Tmrn4iIyMAOHz6Mvn37wtnZGTKZDFu3btWqFwQBUVFRcHZ2hrm5OTp37owzZ85otVGr1ZgwYQLs7e1haWmJfv364fr163rHwsRPRESSJavCf/rIz89HmzZtsHjx4nLrY2NjMX/+fCxevBipqalQKpXo3r077t+/r2kTFhaGLVu2ICkpCUeOHEFeXh769OmD4uJi/Y5ZEARBrzVqgQcPxY6AyPBs2o8XOwQigys4UX6irC7X7qgrvW4jW3ml1pPJZNiyZQsGDBgA4FFv39nZGWFhYZg6dSqAR717JycnzJs3D6NHj0Zubi4cHBywdu1aDBkyBABw48YNuLi4YOfOnejRo4fO+2ePn4iIJEtWhUWtVuPevXtai1qt/w+JzMxMqFQqBAUFacrkcjkCAgKQkpICAEhPT0dRUZFWG2dnZ3h6emra6IqJn4iIJEsmq/wSExMDhUKhtcTExOgdg0qlAgA4OTlplTs5OWnqVCoVzMzMYGNjU2EbXXFWPxERSVjlp/VHRERg4sSJWmVyeeWG/4FHpwAeJwhCmbIn6dLmSezxExERVYJcLoe1tbXWUpnEr1QqAaBMzz07O1szCqBUKlFYWIicnJwK2+iKiZ+IiCSrKkP91cXV1RVKpRJ79+7VlBUWFiI5ORn+/v4AAB8fH5iammq1ycrKQkZGhqaNrjjUT0REklVT9+/Jy8vDxYsXNa8zMzNx8uRJ2NraolGjRggLC0N0dDTc3Nzg5uaG6OhoWFhYIDg4GACgUCgwatQohIeHw87ODra2tpg0aRK8vLzQrVs3vWJh4iciIsmqqXv1p6WloUuXLprXpXMDQkJCkJCQgClTpqCgoABjx45FTk4OfH19sWfPHlhZWWnWWbBgAUxMTDB48GAUFBQgMDAQCQkJMDY21isWXsdPVEvxOn6SAkNfx6/KLar0ukqFaTVGUnPY4yciIunivfqJiIjoRcYePxERSZYEO/xM/EREJF01NbnvecLET0REkqXvU/ZeBEz8REQkXdLL+0z8REQkXRLM+5zVT0REJCXs8RMRkWRxch8REZGEcHIfERGRhEixx89z/ERERBLCHj8REUkWe/xERET0QmOPn4iIJIuT+4iIiCREikP9TPxERCRZEsz7TPxERCRhEsz8nNxHREQkIezxExGRZHFyHxERkYRwch8REZGESDDvM/ETEZGESTDzM/ETEZFkSfEcP2f1ExERSQh7/EREJFlSnNwnEwRBEDsIqt3UajViYmIQEREBuVwudjhEBsHvOb0omPipyu7duweFQoHc3FxYW1uLHQ6RQfB7Ti8KnuMnIiKSECZ+IiIiCWHiJyIikhAmfqoyuVyOyMhITniiFxq/5/Si4OQ+IiIiCWGPn4iISEKY+ImIiCSEiZ+IiEhCmPjJIA4dOgSZTIa7d++KHQrRM8lkMmzdulXsMIhqBBN/LRcaGgqZTIa5c+dqlW/duhUyPW9C3aRJEyxcuFCntidOnMCbb74JJycn1KlTB+7u7njvvfdw/vx5vfZJVBNUKhUmTJiApk2bQi6Xw8XFBX379sX+/fvFDo2oxjHxvwDq1KmDefPmIScnp0b2t2PHDrz66qtQq9X45ptvcO7cOaxduxYKhQLTp0836L4LCwsNun168Vy5cgU+Pj44cOAAYmNjcfr0aezatQtdunTBuHHjDLbfoqIig22bqEoEqtVCQkKEPn36CC1bthQmT56sKd+yZYvw5Mf7/fffCx4eHoKZmZnQuHFj4fPPP9fUBQQECAC0lvLk5+cL9vb2woABA8qtz8nJEQRBEA4ePCgAEPbt2yf4+PgI5ubmgp+fn/DHH39oxd6/f3+t9T/66CMhICBAK65x48YJH3/8sWBnZyd06tRJp20TlerZs6fQoEEDIS8vr0xd6fcVgLBy5UphwIABgrm5udC8eXPhhx9+0LRbs2aNoFAotNZ98v+xyMhIoU2bNkJ8fLzg6uoqyGQyoaSk5JnbJqpp7PG/AIyNjREdHY24uDhcv3693Dbp6ekYPHgw3nrrLZw+fRpRUVGYPn06EhISAACbN29Gw4YNMWvWLGRlZSErK6vc7ezevRu3bt3ClClTyq2vV6+e1utp06bhiy++QFpaGkxMTDBy5Ei9jy8xMREmJib45ZdfsHz58mrdNr3Y7ty5g127dmHcuHGwtLQsU//493XmzJkYPHgwTp06hV69emHYsGG4c+eOXvu7ePEiNm7ciE2bNuHkyZPVum2i6sLE/4J4/fXX8fLLLyMyMrLc+vnz5yMwMBDTp0+Hu7s7QkNDMX78eHz22WcAAFtbWxgbG8PKygpKpRJKpbLc7Vy4cAEA0LJlS53i+vTTTxEQEAAPDw/897//RUpKCh48eKDXsTVv3hyxsbFo0aKF1n6rY9v0Yrt48SIEQdDp+xoaGoqhQ4eiefPmiI6ORn5+Po4fP67X/goLC7F27Vp4e3ujdevWmnk21bFtourCxP8CmTdvHhITE3H27NkydefOnUOHDh20yjp06IALFy6guLhY530Iet7osXXr1pq/69evDwDIzs7Waxvt2rUz2LbpxVb6fdVlouvj3ydLS0tYWVnp/X1q3LgxHBwcDLJtourCxP8C6dSpE3r06IFPPvmkTJ0gCGX+8dM3iQOAu7s7AOCPP/7Qqb2pqanm79L9l5SUAACMjIzKxFDehKjyhmiftW0iAHBzc4NMJsO5c+ee2fbx7xPw6DtliO/qk9smqmlM/C+YuXPnYvv27UhJSdEq9/DwwJEjR7TKUlJS4O7uDmNjYwCAmZnZM3v/QUFBsLe3R2xsbLn1+ly37+DgUGYuwePnRYmqytbWFj169MBXX32F/Pz8MvW6fl8dHBxw//59rW3wu0q1FRP/C8bLywvDhg1DXFycVnl4eDj279+P2bNn4/z580hMTMTixYsxadIkTZsmTZrg8OHD+Pvvv3Hr1q1yt29paYlVq1bhxx9/RL9+/bBv3z5cuXIFaWlpmDJlCj744AOdY+3atSvS0tLw9ddf48KFC4iMjERGRkblDpyoAkuWLEFxcTFeeeUVbNq0CRcuXMC5c+ewaNEi+Pn56bQNX19fWFhY4JNPPsHFixexfv16zcRYotqGif8FNHv27DLDkm3btsXGjRuRlJQET09PzJgxA7NmzUJoaKimzaxZs3DlyhU0a9as3POUpfr374+UlBSYmpoiODgYLVu2xNChQ5Gbm4s5c+boHGePHj0wffp0TJkyBe3bt8f9+/cxfPhwvY+X6GlcXV3x22+/oUuXLggPD4enpye6d++O/fv3Y+nSpTptw9bWFuvWrcPOnTvh5eWFDRs2ICoqyrCBExkIH8tLREQkIezxExERSQgTPxERkYQw8RMREUkIEz8REZGEMPETERFJCBM/ERGRhDDxExERSQgTPxERkYQw8RPVAlFRUXj55Zc1r0NDQzFgwIAaj+PKlSuQyWS8Tz1RLcbET1QFoaGhkMlkkMlkMDU1RdOmTTFp0qRyHwhTnb788kud7xXPZE1EjzMROwCi2u61117DmjVrUFRUhJ9//hnvvvsu8vPzy9wHvqioqMzjWStLoVBUy3aISHrY4yeqIrlcDqVSCRcXFwQHB2PYsGHYunWrZnh+9erVaNq0KeRyOQRBQG5uLt5//304OjrC2toaXbt2xe+//661zblz58LJyQlWVlYYNWoUHjx4oFX/5FB/SUkJ5s2bh+bNm0Mul6NRo0b49NNPATx6SA0AeHt7QyaToXPnzpr11qxZg5deegl16tRBy5YtsWTJEq39HD9+HN7e3qhTpw7atWuHEydOVOM7R0RiYI+fqJqZm5ujqKgIAHDx4kVs3LgRmzZtgrGxMQCgd+/esLW1xc6dO6FQKLB8+XIEBgbi/PnzsLW1xcaNGxEZGYmvvvoKHTt2xNq1a7Fo0SI0bdq0wn1GRERg5cqVWLBgAf7zn/8gKysLf/zxB4BHyfuVV17Bvn370KpVK5iZmQEAVq5cicjISCxevBje3t44ceIE3nvvPVhaWiIkJAT5+fno06cPunbtinXr1iEzMxMfffSRgd89IjI4gYgqLSQkROjfv7/m9a+//irY2dkJgwcPFiIjIwVTU1MhOztbU79//37B2tpaePDggdZ2mjVrJixfvlwQBEHw8/MTPvjgA616X19foU2bNuXu9969e4JcLhdWrlxZboyZmZkCAOHEiRNa5S4uLsL69eu1ymbPni34+fkJgiAIy5cvF2xtbYX8/HxN/dKlS8vdFhHVHhzqJ6qiHTt2oG7duqhTpw78/PzQqVMnxMXFAQAaN24MBwcHTdv09HTk5eXBzs4OdevW1SyZmZm4dOkSAODcuXPw8/PT2seTrx937tw5qNVqBAYG6hzzzZs38ddff2HUqFFaccyZM0crjjZt2sDCwkKnOIioduBQP1EVdenSBUuXLoWpqSmcnZ21JvBZWlpqtS0pKUH9+vVx6NChMtupV69epfZvbm6u9zolJSUAHg33+/r6atWVnpIQBKFS8RDR842Jn6iKLC0t0bx5c53atm3bFiqVCiYmJmjSpEm5bV566SUcO3YMw4cP15QdO3aswm26ubnB3Nwc+/fvx7vvvlumvvScfnFxsabMyckJDRo0wOXLlzFs2LByt+vh4YG1a9eioKBA8+PiaXEQUe3AoX6iGtStWzf4+flhwIAB2L17N65cuYKUlBT83//9H9LS0gAAH330EVavXo3Vq1fj/PnziIyMxJkzZyrcZp06dTB16lRMmTIFX3/9NS5duoRjx44hPj4eAODo6Ahzc3Ps2rUL//zzD3JzcwE8uilQTEwMvvzyS5w/fx6nT5/GmjVrMH/+fABAcHAwjIyMMGrUKJw9exY7d+7E559/buB3iIgMjYmfqAbJZDLs3LkTnTp1wsiRI+Hu7o633noLV65cgZOTEwBgyJAhmDFjBqZOnQofHx9cvXoVY8aMeep2p0+fjvDwcMyYMQMvvfQShgwZguzsbACAiYkJFi1ahOXLl8PZ2Rn9+/cHALz77rtYtWoVEhIS4OXlhYCAACQkJGgu/6tbty62b9+Os2fPwtvbG9OmTcO8efMM+O4QUU2QCTyRR0REJBns8RMREUkIEz8REZGEMPETERFJCBM/ERGRhDDxExERSQgTPxERkYQw8RMREUkIEz8REZGEMPETERFJCBM/ERGRhDDxExERScj/AyikcuMNecx5AAAAAElFTkSuQmCC", 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", 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" ] @@ -1598,10 +1457,10 @@ "output_type": "stream", "text": [ "Testing Metrics:\n", - "Accuracy: 0.96\n", - "Precision: 0.94\n", + "Accuracy: 0.95\n", + "Precision: 0.92\n", "Recall: 0.98\n", - "F1 Score: 0.96\n", + "F1 Score: 0.95\n", "------------------------------\n" ] } @@ -1619,20 +1478,20 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Final Training Logloss: 0.09655999575829563\n", - "Final Validation Logloss: 0.13220269163650872\n" + "Final Training Logloss: 0.10264213391001191\n", + "Final Validation Logloss: 0.14014741622356627\n" ] }, { "data": { - "image/png": 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", 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"text/plain": [ "
" ] @@ -1671,7 +1530,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1721,379 +1580,200 @@ " \n", " \n", " 0\n", - " EM9660\n", - " Kota Jakarta Timur\n", - " Perempuan\n", - " 1970-07-27\n", - " 2023-10-09\n", - " 2024-10-31\n", - " Single\n", - " 0\n", - " D3\n", - " 2.0\n", + " EM0120\n", + " Tangerang\n", + " Laki-laki\n", + " 1990-02-18\n", + " 2023-01-11\n", + " 2024-01-30\n", + " Married\n", + " 1\n", + " SLTA\n", + " 11.0\n", " ...\n", " Mid-term\n", - " 4.000000\n", + " 1.000000\n", + " 2\n", " 1\n", + " 1140915.0\n", " 1\n", - " 4843236.0\n", - " 4\n", - " 1210809.00\n", - " 2.0\n", + " 1140915.0\n", + " 1.4\n", " Medium\n", - " 9.182979\n", + " 9.393432\n", " \n", " \n", " 1\n", - " EM12614\n", - " Tangerang\n", - " Laki-laki\n", - " 1972-03-13\n", - " 2023-12-19\n", - " 2024-10-31\n", + " EM13985\n", + " Kepulauan Seribu\n", + " Perempuan\n", + " 1987-02-01\n", + " 2022-09-26\n", + " 2023-11-08\n", " Married\n", " 1\n", - " D1\n", - " 1.0\n", + " SLTA\n", + " 0.0\n", " ...\n", - " Short-term\n", - " 5.000000\n", + " Mid-term\n", + " 13.000000\n", " 2\n", " 1\n", - " 3491432.0\n", - " 2\n", - " 1745716.00\n", - " 2.6\n", + " 2103348.0\n", + " 1\n", + " 2103348.0\n", + " 1.8\n", " Medium\n", - " 9.529412\n", + " 9.300000\n", " \n", " \n", " 2\n", - " EM2150\n", - " Kota Jakarta Timur\n", - " Laki-laki\n", - " 1986-12-27\n", - " 2022-05-22\n", - " 2023-07-05\n", - " Married\n", - " 1\n", + " EM2560\n", + " Tangerang\n", + " Perempuan\n", + " 1999-11-01\n", + " 2023-01-05\n", + " 2024-05-04\n", + " Single\n", + " 0\n", " SLTA\n", - " 4.0\n", + " 10.0\n", " ...\n", " Mid-term\n", - " 2.600000\n", - " 2\n", + " 1.454545\n", " 1\n", - " 1727468.0\n", " 1\n", - " 1727468.00\n", - " 3.0\n", + " 2145814.0\n", + " 1\n", + " 2145814.0\n", + " 1.6\n", " Medium\n", - " 9.288164\n", + " 9.205670\n", " \n", " \n", " 3\n", - " EM6733\n", - " Kabupaten Bogor\n", + " EM0343\n", + " Kabupaten Bekasi\n", " Laki-laki\n", - " 1978-07-12\n", - " 2022-12-07\n", - " 2024-10-31\n", - " Married\n", - " 4\n", - " D3\n", - " 6.0\n", + " 1990-10-12\n", + " 2022-02-01\n", + " 2023-07-17\n", + " Single\n", + " 0\n", + " SLTA\n", + " 1.0\n", " ...\n", " Mid-term\n", - " 3.285714\n", - " 5\n", + " 8.500000\n", " 1\n", - " 3745375.0\n", - " 4\n", - " 936343.75\n", - " 1.6\n", + " 1\n", + " 2331081.0\n", + " 1\n", + " 2331081.0\n", + " 2.6\n", " Medium\n", - " 9.053694\n", + " 9.154017\n", " \n", " \n", " 4\n", - " EM9133\n", - " Kabupaten Bekasi\n", - " Perempuan\n", - " 1994-06-03\n", - " 2023-05-29\n", - " 2023-10-20\n", - " Married\n", - " 0\n", - " SLTA\n", - " 0.0\n", - " ...\n", - " Short-term\n", - " 4.000000\n", - " 1\n", - " 1\n", - " 2658503.0\n", - " 1\n", - " 2658503.00\n", - " 1.0\n", - " Medium\n", - " 9.540000\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 3103\n", - " EM7715\n", - " Kabupaten Bekasi\n", - " Perempuan\n", - " 1985-04-11\n", - " 2021-02-07\n", - " 2023-02-25\n", - " Married\n", - " 2\n", - " SLTA\n", - " 7.0\n", - " ...\n", - " Mid-term\n", - " 3.000000\n", - " 3\n", - " 1\n", - " 1197442.0\n", - " 1\n", - " 1197442.00\n", - " 2.2\n", - " Medium\n", - " 9.728385\n", - " \n", - " \n", - " 3104\n", - " EM2762\n", + " EM14458\n", " Kabupaten Bogor\n", " Perempuan\n", - " 1984-05-22\n", - " 2021-11-11\n", - " 2024-10-31\n", + " 1996-04-24\n", + " 2022-10-23\n", + " 2023-12-30\n", " Married\n", - " 2\n", + " 1\n", " SLTA\n", - " 6.0\n", + " 12.0\n", " ...\n", " Mid-term\n", - " 5.142857\n", - " 3\n", + " 1.076923\n", + " 2\n", " 1\n", - " 2192338.0\n", + " 1798725.0\n", " 1\n", - " 2192338.00\n", - " 2.2\n", + " 1798725.0\n", + " 2.6\n", " Medium\n", - " 9.622154\n", - " \n", - " \n", - " 3105\n", - " EM1927\n", - " Kota Jakarta Barat\n", - " Perempuan\n", - " 1968-12-11\n", - " 2020-06-21\n", - " 2024-10-31\n", - " Married\n", - " 2\n", - " S1\n", - " 0.0\n", - " ...\n", - " Long-term\n", - " 53.000000\n", - " 3\n", - " 2\n", - " 3001594.5\n", - " 5\n", - " 1200637.80\n", - " 1.0\n", - " Low\n", - " 9.710000\n", - " \n", - " \n", - " 3106\n", - " EM7271\n", - " Kota Jakarta Barat\n", - " Perempuan\n", - " 1977-05-09\n", - " 2021-05-26\n", - " 2024-10-31\n", - " Married\n", - " 3\n", - " S1\n", - " 0.0\n", - " ...\n", - " Long-term\n", - " 41.000000\n", - " 4\n", - " 2\n", - " 3153785.0\n", - " 5\n", - " 1261514.00\n", - " 1.4\n", - " Low\n", - " 9.070000\n", - " \n", - " \n", - " 3107\n", - " EM4803\n", - " Kota Bogor\n", - " Perempuan\n", - " 1993-05-19\n", - " 2023-06-15\n", - " 2024-10-31\n", - " Married\n", - " 0\n", - " S1\n", - " 2.0\n", - " ...\n", - " Mid-term\n", - " 5.333333\n", - " 1\n", - " 2\n", - " 3122322.0\n", - " 5\n", - " 1248928.80\n", - " 3.0\n", - " Medium\n", - " 9.686537\n", + " 9.706741\n", " \n", " \n", "\n", - "

3108 rows × 37 columns

\n", + "

5 rows × 37 columns

\n", "" ], "text/plain": [ - " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "0 EM9660 Kota Jakarta Timur Perempuan 1970-07-27 2023-10-09 \n", - "1 EM12614 Tangerang Laki-laki 1972-03-13 2023-12-19 \n", - "2 EM2150 Kota Jakarta Timur Laki-laki 1986-12-27 2022-05-22 \n", - "3 EM6733 Kabupaten Bogor Laki-laki 1978-07-12 2022-12-07 \n", - "4 EM9133 Kabupaten Bekasi Perempuan 1994-06-03 2023-05-29 \n", - "... ... ... ... ... ... \n", - "3103 EM7715 Kabupaten Bekasi Perempuan 1985-04-11 2021-02-07 \n", - "3104 EM2762 Kabupaten Bogor Perempuan 1984-05-22 2021-11-11 \n", - "3105 EM1927 Kota Jakarta Barat Perempuan 1968-12-11 2020-06-21 \n", - "3106 EM7271 Kota Jakarta Barat Perempuan 1977-05-09 2021-05-26 \n", - "3107 EM4803 Kota Bogor Perempuan 1993-05-19 2023-06-15 \n", + " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", + "0 EM0120 Tangerang Laki-laki 1990-02-18 2023-01-11 \n", + "1 EM13985 Kepulauan Seribu Perempuan 1987-02-01 2022-09-26 \n", + "2 EM2560 Tangerang Perempuan 1999-11-01 2023-01-05 \n", + "3 EM0343 Kabupaten Bekasi Laki-laki 1990-10-12 2022-02-01 \n", + "4 EM14458 Kabupaten Bogor Perempuan 1996-04-24 2022-10-23 \n", "\n", - " resign_date marriage_stat dependant education absent_90D ... \\\n", - "0 2024-10-31 Single 0 D3 2.0 ... \n", - "1 2024-10-31 Married 1 D1 1.0 ... \n", - "2 2023-07-05 Married 1 SLTA 4.0 ... \n", - "3 2024-10-31 Married 4 D3 6.0 ... \n", - "4 2023-10-20 Married 0 SLTA 0.0 ... \n", - "... ... ... ... ... ... ... \n", - "3103 2023-02-25 Married 2 SLTA 7.0 ... \n", - "3104 2024-10-31 Married 2 SLTA 6.0 ... \n", - "3105 2024-10-31 Married 2 S1 0.0 ... \n", - "3106 2024-10-31 Married 3 S1 0.0 ... \n", - "3107 2024-10-31 Married 0 S1 2.0 ... \n", + " resign_date marriage_stat dependant education absent_90D ... \\\n", + "0 2024-01-30 Married 1 SLTA 11.0 ... \n", + "1 2023-11-08 Married 1 SLTA 0.0 ... \n", + "2 2024-05-04 Single 0 SLTA 10.0 ... \n", + "3 2023-07-17 Single 0 SLTA 1.0 ... \n", + "4 2023-12-30 Married 1 SLTA 12.0 ... \n", "\n", - " active_work_category work_stability_score married_dependent_ratio \\\n", - "0 Mid-term 4.000000 1 \n", - "1 Short-term 5.000000 2 \n", - "2 Mid-term 2.600000 2 \n", - "3 Mid-term 3.285714 5 \n", - "4 Short-term 4.000000 1 \n", - "... ... ... ... \n", - "3103 Mid-term 3.000000 3 \n", - "3104 Mid-term 5.142857 3 \n", - "3105 Long-term 53.000000 3 \n", - "3106 Long-term 41.000000 4 \n", - "3107 Mid-term 5.333333 1 \n", + " active_work_category work_stability_score married_dependent_ratio \\\n", + "0 Mid-term 1.000000 2 \n", + "1 Mid-term 13.000000 2 \n", + "2 Mid-term 1.454545 1 \n", + "3 Mid-term 8.500000 1 \n", + "4 Mid-term 1.076923 2 \n", "\n", - " position_score job_income_position_score education_score \\\n", - "0 1 4843236.0 4 \n", - "1 1 3491432.0 2 \n", - "2 1 1727468.0 1 \n", - "3 1 3745375.0 4 \n", - "4 1 2658503.0 1 \n", - "... ... ... ... \n", - "3103 1 1197442.0 1 \n", - "3104 1 2192338.0 1 \n", - "3105 2 3001594.5 5 \n", - "3106 2 3153785.0 5 \n", - "3107 2 3122322.0 5 \n", + " position_score job_income_position_score education_score \\\n", + "0 1 1140915.0 1 \n", + "1 1 2103348.0 1 \n", + "2 1 2145814.0 1 \n", + "3 1 2331081.0 1 \n", + "4 1 1798725.0 1 \n", "\n", - " education_income_ratio weighted_satisfaction_performance \\\n", - "0 1210809.00 2.0 \n", - "1 1745716.00 2.6 \n", - "2 1727468.00 3.0 \n", - "3 936343.75 1.6 \n", - "4 2658503.00 1.0 \n", - "... ... ... \n", - "3103 1197442.00 2.2 \n", - "3104 2192338.00 2.2 \n", - "3105 1200637.80 1.0 \n", - "3106 1261514.00 1.4 \n", - "3107 1248928.80 3.0 \n", + " education_income_ratio weighted_satisfaction_performance \\\n", + "0 1140915.0 1.4 \n", + "1 2103348.0 1.8 \n", + "2 2145814.0 1.6 \n", + "3 2331081.0 2.6 \n", + "4 1798725.0 2.6 \n", "\n", - " resign_risk_indicator adjusted_work_time \n", - "0 Medium 9.182979 \n", - "1 Medium 9.529412 \n", - "2 Medium 9.288164 \n", - "3 Medium 9.053694 \n", - "4 Medium 9.540000 \n", - "... ... ... \n", - "3103 Medium 9.728385 \n", - "3104 Medium 9.622154 \n", - "3105 Low 9.710000 \n", - "3106 Low 9.070000 \n", - "3107 Medium 9.686537 \n", + " resign_risk_indicator adjusted_work_time \n", + "0 Medium 9.393432 \n", + "1 Medium 9.300000 \n", + "2 Medium 9.205670 \n", + "3 Medium 9.154017 \n", + "4 Medium 9.706741 \n", "\n", - "[3108 rows x 37 columns]" + "[5 rows x 37 columns]" ] }, - "execution_count": 2, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_test = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\data_testing.csv')\n", - "df_test" + "df_test = pd.read_csv('D:/Tugas Akhir/Codingan/Notebook - Playground/preprocessed_data_test_5.csv')\n", + "df_test.head()" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0 2299\n", - "1 809\n", - "Name: churn_status, dtype: int64" + "churn_status\n", + "1 809\n", + "0 798\n", + "Name: count, dtype: int64" ] }, - "execution_count": 3, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2104,166 +1784,37 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 27, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Tanggal terlama (minimum): 2020-01-02 00:00:00\n", - "Tanggal terbaru (maksimum): 2024-10-30 00:00:00\n" - ] + "data": { + "text/plain": [ + "1607" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "# Konversi kolom join_date ke datetime\n", - "df_test['join_date'] = pd.to_datetime(df_test['join_date'])\n", - "\n", - "# Cari tanggal terlama (minimum) dan terbaru (maksimum)\n", - "oldest_date = df_test['join_date'].min()\n", - "latest_date = df_test['join_date'].max()\n", - "\n", - "# Cetak hasil\n", - "print(f\"Tanggal terlama (minimum): {oldest_date}\")\n", - "print(f\"Tanggal terbaru (maksimum): {latest_date}\")" + "len(df_test)" ] }, { "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "# end_date = pd.to_datetime(\"2024-10-31\")\n", - "# df_test[\"date_of_birth\"] = pd.to_datetime(df_test[\"date_of_birth\"], errors='coerce')\n", - "# df_test[\"age_years\"] = (end_date - df_test[\"date_of_birth\"]).dt.days // 365\n", - "\n", - "# df_test[\"join_date\"] = pd.to_datetime(df_test[\"join_date\"])\n", - "# df_test[\"resign_date\"] = pd.to_datetime(df_test[\"resign_date\"])\n", - "\n", - "# df_test[\"resign_date\"].fillna(end_date, inplace=True)\n", - "\n", - "# df_test[\"total_komp\"].fillna(0, inplace=True)\n", - "# df_test[\"absent_90D\"].fillna(0, inplace=True)\n", - "\n", - "# df_test[\"active_work\"] = (df_test[\"resign_date\"] - df_test[\"join_date\"]).dt.days\n", - "\n", - "# df_test[\"active_work_months\"] = df_test[\"active_work\"] // 30\n", - "# df_test[\"income_3_months\"] = df_test[\"income\"] * 3\n", - "# df_test[\"income_6_months\"] = df_test[\"income\"] * 6\n", - "# df_test[\"total_income_work\"] = df_test[\"income\"] * df_test[\"active_work_months\"]\n", - "\n", - "# df_test[\"absence_ratio\"] = df_test[\"absent_90D\"] / (df_test[\"active_work\"] / 90)\n", - "# df_test[\"income_dependant_ratio\"] = df_test[\"income\"] / (df_test[\"dependant\"] + 1)\n", - "# df_test[\"work_efficiency\"] = df_test[\"avg_time_work\"] / 8\n", - "\n", - "# def categorize_work_duration_months(months):\n", - "# if months < 12:\n", - "# return \"Short-term\"\n", - "# elif 12 <= months <= 36:\n", - "# return \"Mid-term\"\n", - "# else:\n", - "# return \"Long-term\"\n", - "\n", - "# df_test['active_work_category'] = df_test['active_work_months'].apply(categorize_work_duration_months)\n", - "\n", - "# # Work Stability Score\n", - "# df_test['work_stability_score'] = df_test['active_work_months'] / (df_test['absent_90D'] + 1)\n", - "\n", - "# # Married-Dependent Ratio\n", - "# def married_dependent_ratio(row):\n", - "# if row['marriage_stat'] == 'Married':\n", - "# return row['dependant'] + 1\n", - "# else:\n", - "# return 1\n", - "\n", - "# df_test['married_dependent_ratio'] = df_test.apply(married_dependent_ratio, axis=1)\n", - "\n", - "# # Job Income to Position Score\n", - "# position_score_mapping = {'Junior': 2, 'Staff': 1, 'Senior': 3, 'Manager': 4}\n", - "# df_test['position_score'] = df_test['position'].map(position_score_mapping)\n", - "# df_test['job_income_position_score'] = df_test['income'] / df_test['position_score']\n", - "\n", - "# # Education-Adjusted Income\n", - "# education_score_mapping = {'SLTA': 1, 'D1': 2, 'D2': 3, 'D3': 4, 'S1': 5, 'S2': 6, 'S3': 7}\n", - "# df_test['education_score'] = df_test['education'].map(education_score_mapping)\n", - "# df_test['education_income_ratio'] = df_test['income'] / df_test['education_score']\n", - "\n", - "# # Weighted Satisfaction-Performance Score\n", - "# df_test['weighted_satisfaction_performance'] = (\n", - "# 0.6 * df_test['job_satisfaction'] + 0.4 * df_test['performance_rating']\n", - "# )\n", - "\n", - "# # Resign Risk Indicator\n", - "# def resign_risk_indicator(row):\n", - "# if row['age_years'] < 30 and row['active_work_months'] < 12:\n", - "# return \"High\"\n", - "# elif 1 <= row['active_work_months'] <= 36:\n", - "# return \"Medium\"\n", - "# else:\n", - "# return \"Low\"\n", - "\n", - "# df_test['resign_risk_indicator'] = df_test.apply(resign_risk_indicator, axis=1)\n", - "\n", - "# # Adjusted Work Time\n", - "# df_test['adjusted_work_time'] = df_test['avg_time_work'] * (1 - (df_test['absent_90D'] / ((df_test['active_work_months'] * 90) + 1)))\n", - "\n", - "# job_satisfaction_mapping = {1.0: 'Low', 2.0: 'Medium', 3.0: 'High', 4.0: 'Very High'}\n", - "# df_test['job_satisfaction'] = df_test['job_satisfaction'].map(job_satisfaction_mapping)\n", - "\n", - "# performance_rating_mapping = {1.0: 'Low', 2.0: 'Good', 3.0: 'Excellent', 4.0: 'Outstanding'}\n", - "# df_test['performance_rating'] = df_test['performance_rating'].map(performance_rating_mapping)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Jumlah baris sebelum filter: 3108\n", - "Jumlah baris setelah filter: 3108\n" - ] - } - ], - "source": [ - "# Memilih hanya kolom numerik\n", - "numerical_columns = df_test.select_dtypes(include=['int64', 'float64']).columns\n", - "\n", - "# Filter: Hanya menyimpan baris yang tidak memiliki nilai negatif\n", - "df_test_filtered = df_test[(df_test[numerical_columns] >= 0).all(axis=1)]\n", - "\n", - "# Menampilkan hasil\n", - "print(\"Jumlah baris sebelum filter:\", df_test.shape[0])\n", - "print(\"Jumlah baris setelah filter:\", df_test_filtered.shape[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "df_test = df_test.dropna(subset=['marriage_stat'])" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accuracy: 0.9453024453024453\n", - "Precision: 0.8310880829015544\n", - "Recall: 0.9913473423980222\n", - "F1 Score: 0.9041713641488162\n" + "Accuracy: 0.9477286869943995\n", + "Precision: 0.9142857142857143\n", + "Recall: 0.9888751545117429\n", + "F1 Score: 0.9501187648456056\n" ] } ], @@ -2290,7 +1841,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -2340,413 +1891,240 @@ " \n", " \n", " 0\n", - " EM13260\n", - " Kota Jakarta Barat\n", - " Perempuan\n", - " 1976-12-02\n", - " 2020-10-25\n", - " 2023-02-16\n", - " Married\n", - " 2\n", - " SLTA\n", - " 8.0\n", - " ...\n", - " Mid-term\n", - " 3.111111\n", - " 3\n", - " 1\n", - " 2252793.0\n", - " 1\n", - " 2.252793e+06\n", - " 2.0\n", - " Medium\n", - " 9.280456\n", - " \n", - " \n", - " 1\n", - " EM0533\n", - " Tangerang\n", + " EM0406\n", + " Kota Jakarta Utara\n", " Laki-laki\n", - " 1970-10-08\n", - " 2022-10-05\n", - " 2024-03-25\n", + " 1975-01-07\n", + " 2021-09-25\n", + " 2023-12-07\n", " Married\n", " 3\n", " SLTA\n", - " 14.0\n", - " ...\n", - " Mid-term\n", - " 1.133333\n", - " 4\n", - " 1\n", - " 1784520.0\n", - " 1\n", - " 1.784520e+06\n", - " 1.8\n", - " Medium\n", - " 9.809471\n", - " \n", - " \n", - " 2\n", - " EM7296\n", - " Kota Depok\n", - " Perempuan\n", - " 1980-05-10\n", - " 2022-07-21\n", - " 2023-09-01\n", - " Married\n", - " 2\n", - " SLTA\n", - " 14.0\n", - " ...\n", - " Mid-term\n", - " 0.866667\n", - " 3\n", - " 1\n", - " 1291410.0\n", - " 1\n", - " 1.291410e+06\n", - " 1.6\n", - " Medium\n", - " 9.534629\n", - " \n", - " \n", - " 3\n", - " EM9032\n", - " Kota Depok\n", - " Perempuan\n", - " 1993-10-24\n", - " 2022-07-05\n", - " 2024-01-25\n", - " Married\n", - " 2\n", - " D2\n", - " 7.0\n", - " ...\n", - " Mid-term\n", - " 2.250000\n", - " 3\n", - " 1\n", - " 3909283.0\n", - " 3\n", - " 1.303094e+06\n", - " 1.0\n", - " Medium\n", - " 9.468933\n", - " \n", - " \n", - " 4\n", - " EM11615\n", - " Tangerang\n", - " Laki-laki\n", - " 1987-02-02\n", - " 2022-09-14\n", - " 2023-11-03\n", - " Divorce\n", - " 0\n", - " SLTA\n", - " 8.0\n", - " ...\n", - " Mid-term\n", - " 1.444444\n", - " 1\n", - " 1\n", - " 2615265.0\n", - " 1\n", - " 2.615265e+06\n", - " 2.2\n", - " Medium\n", - " 8.968309\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 804\n", - " EM12172\n", - " Kota Jakarta Timur\n", - " Perempuan\n", - " 1985-12-27\n", - " 2022-05-31\n", - " 2023-07-04\n", - " Married\n", - " 2\n", - " SLTA\n", - " 4.0\n", - " ...\n", - " Mid-term\n", - " 2.600000\n", - " 3\n", - " 1\n", - " 1666355.0\n", - " 1\n", - " 1.666355e+06\n", - " 2.2\n", - " Medium\n", - " 9.517378\n", - " \n", - " \n", - " 805\n", - " EM1528\n", - " Kabupaten Bekasi\n", - " Perempuan\n", - " 1982-02-08\n", - " 2022-02-15\n", - " 2024-04-06\n", - " Married\n", - " 2\n", - " D1\n", - " 4.0\n", - " ...\n", - " Mid-term\n", - " 5.200000\n", - " 3\n", - " 1\n", - " 4090506.0\n", - " 2\n", - " 2.045253e+06\n", - " 1.6\n", - " Medium\n", - " 9.214229\n", - " \n", - " \n", - " 806\n", - " EM12674\n", - " Kabupaten Bogor\n", - " Perempuan\n", - " 1994-10-19\n", - " 2021-08-02\n", - " 2023-07-07\n", - " Married\n", - " 0\n", - " SLTA\n", - " 12.0\n", - " ...\n", - " Mid-term\n", - " 1.769231\n", - " 1\n", - " 1\n", - " 2400606.0\n", - " 1\n", - " 2.400606e+06\n", - " 2.0\n", - " Medium\n", - " 9.693506\n", - " \n", - " \n", - " 807\n", - " EM13279\n", - " Kabupaten Bogor\n", - " Perempuan\n", - " 1985-07-16\n", - " 2021-12-12\n", - " 2024-03-19\n", - " Married\n", - " 2\n", - " D2\n", - " 3.0\n", - " ...\n", - " Mid-term\n", - " 6.750000\n", - " 3\n", - " 1\n", - " 3852210.0\n", - " 3\n", - " 1.284070e+06\n", - " 2.2\n", - " Medium\n", - " 9.278536\n", - " \n", - " \n", - " 808\n", - " EM8022\n", - " Kota Jakarta Timur\n", - " Laki-laki\n", - " 1978-02-02\n", - " 2022-07-07\n", - " 2024-09-03\n", - " Married\n", - " 3\n", - " D2\n", " 3.0\n", " ...\n", " Mid-term\n", " 6.500000\n", " 4\n", " 1\n", - " 4131962.0\n", - " 3\n", - " 1.377321e+06\n", - " 2.4\n", + " 1578410.0\n", + " 1\n", + " 1578410.00\n", + " 1.0\n", " Medium\n", - " 9.417915\n", + " 9.797428\n", + " \n", + " \n", + " 1\n", + " EM1772\n", + " Kabupaten Bogor\n", + " Perempuan\n", + " 1993-04-18\n", + " 2021-02-23\n", + " 2023-06-24\n", + " Married\n", + " 1\n", + " SLTA\n", + " 2.0\n", + " ...\n", + " Mid-term\n", + " 9.333333\n", + " 2\n", + " 1\n", + " 2003154.0\n", + " 1\n", + " 2003154.00\n", + " 2.2\n", + " Medium\n", + " 9.342582\n", + " \n", + " \n", + " 2\n", + " EM7996\n", + " Tangerang\n", + " Laki-laki\n", + " 1998-02-12\n", + " 2023-05-04\n", + " 2024-06-29\n", + " Single\n", + " 0\n", + " SLTA\n", + " 5.0\n", + " ...\n", + " Mid-term\n", + " 2.333333\n", + " 1\n", + " 1\n", + " 1394384.0\n", + " 1\n", + " 1394384.00\n", + " 3.0\n", + " Medium\n", + " 9.551975\n", + " \n", + " \n", + " 3\n", + " EM13978\n", + " Kota Jakarta Barat\n", + " Perempuan\n", + " 1982-12-26\n", + " 2021-09-11\n", + " 2023-04-03\n", + " Married\n", + " 0\n", + " D3\n", + " 0.0\n", + " ...\n", + " Mid-term\n", + " 18.000000\n", + " 1\n", + " 1\n", + " 4151999.0\n", + " 4\n", + " 1037999.75\n", + " 2.6\n", + " Medium\n", + " 9.180000\n", + " \n", + " \n", + " 4\n", + " EM9860\n", + " Tangerang\n", + " Perempuan\n", + " 1997-03-26\n", + " 2023-06-20\n", + " 2024-10-02\n", + " Single\n", + " 0\n", + " SLTA\n", + " 15.0\n", + " ...\n", + " Mid-term\n", + " 0.937500\n", + " 1\n", + " 1\n", + " 1560817.0\n", + " 1\n", + " 1560817.00\n", + " 2.6\n", + " Medium\n", + " 9.414301\n", " \n", " \n", "\n", - "

809 rows × 37 columns

\n", + "

5 rows × 37 columns

\n", "" ], "text/plain": [ - " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "0 EM13260 Kota Jakarta Barat Perempuan 1976-12-02 2020-10-25 \n", - "1 EM0533 Tangerang Laki-laki 1970-10-08 2022-10-05 \n", - "2 EM7296 Kota Depok Perempuan 1980-05-10 2022-07-21 \n", - "3 EM9032 Kota Depok Perempuan 1993-10-24 2022-07-05 \n", - "4 EM11615 Tangerang Laki-laki 1987-02-02 2022-09-14 \n", - ".. ... ... ... ... ... \n", - "804 EM12172 Kota Jakarta Timur Perempuan 1985-12-27 2022-05-31 \n", - "805 EM1528 Kabupaten Bekasi Perempuan 1982-02-08 2022-02-15 \n", - "806 EM12674 Kabupaten Bogor Perempuan 1994-10-19 2021-08-02 \n", - "807 EM13279 Kabupaten Bogor Perempuan 1985-07-16 2021-12-12 \n", - "808 EM8022 Kota Jakarta Timur Laki-laki 1978-02-02 2022-07-07 \n", + " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", + "0 EM0406 Kota Jakarta Utara Laki-laki 1975-01-07 2021-09-25 \n", + "1 EM1772 Kabupaten Bogor Perempuan 1993-04-18 2021-02-23 \n", + "2 EM7996 Tangerang Laki-laki 1998-02-12 2023-05-04 \n", + "3 EM13978 Kota Jakarta Barat Perempuan 1982-12-26 2021-09-11 \n", + "4 EM9860 Tangerang Perempuan 1997-03-26 2023-06-20 \n", "\n", - " resign_date marriage_stat dependant education absent_90D ... \\\n", - "0 2023-02-16 Married 2 SLTA 8.0 ... \n", - "1 2024-03-25 Married 3 SLTA 14.0 ... \n", - "2 2023-09-01 Married 2 SLTA 14.0 ... \n", - "3 2024-01-25 Married 2 D2 7.0 ... \n", - "4 2023-11-03 Divorce 0 SLTA 8.0 ... \n", - ".. ... ... ... ... ... ... \n", - "804 2023-07-04 Married 2 SLTA 4.0 ... \n", - "805 2024-04-06 Married 2 D1 4.0 ... \n", - "806 2023-07-07 Married 0 SLTA 12.0 ... \n", - "807 2024-03-19 Married 2 D2 3.0 ... \n", - "808 2024-09-03 Married 3 D2 3.0 ... \n", + " resign_date marriage_stat dependant education absent_90D ... \\\n", + "0 2023-12-07 Married 3 SLTA 3.0 ... \n", + "1 2023-06-24 Married 1 SLTA 2.0 ... \n", + "2 2024-06-29 Single 0 SLTA 5.0 ... \n", + "3 2023-04-03 Married 0 D3 0.0 ... \n", + "4 2024-10-02 Single 0 SLTA 15.0 ... \n", "\n", - " active_work_category work_stability_score married_dependent_ratio \\\n", - "0 Mid-term 3.111111 3 \n", - "1 Mid-term 1.133333 4 \n", - "2 Mid-term 0.866667 3 \n", - "3 Mid-term 2.250000 3 \n", - "4 Mid-term 1.444444 1 \n", - ".. ... ... ... \n", - "804 Mid-term 2.600000 3 \n", - "805 Mid-term 5.200000 3 \n", - "806 Mid-term 1.769231 1 \n", - "807 Mid-term 6.750000 3 \n", - "808 Mid-term 6.500000 4 \n", + " active_work_category work_stability_score married_dependent_ratio \\\n", + "0 Mid-term 6.500000 4 \n", + "1 Mid-term 9.333333 2 \n", + "2 Mid-term 2.333333 1 \n", + "3 Mid-term 18.000000 1 \n", + "4 Mid-term 0.937500 1 \n", "\n", - " position_score job_income_position_score education_score \\\n", - "0 1 2252793.0 1 \n", - "1 1 1784520.0 1 \n", - "2 1 1291410.0 1 \n", - "3 1 3909283.0 3 \n", - "4 1 2615265.0 1 \n", - ".. ... ... ... \n", - "804 1 1666355.0 1 \n", - "805 1 4090506.0 2 \n", - "806 1 2400606.0 1 \n", - "807 1 3852210.0 3 \n", - "808 1 4131962.0 3 \n", + " position_score job_income_position_score education_score \\\n", + "0 1 1578410.0 1 \n", + "1 1 2003154.0 1 \n", + "2 1 1394384.0 1 \n", + "3 1 4151999.0 4 \n", + "4 1 1560817.0 1 \n", "\n", - " education_income_ratio weighted_satisfaction_performance \\\n", - "0 2.252793e+06 2.0 \n", - "1 1.784520e+06 1.8 \n", - "2 1.291410e+06 1.6 \n", - "3 1.303094e+06 1.0 \n", - "4 2.615265e+06 2.2 \n", - ".. ... ... \n", - "804 1.666355e+06 2.2 \n", - "805 2.045253e+06 1.6 \n", - "806 2.400606e+06 2.0 \n", - "807 1.284070e+06 2.2 \n", - "808 1.377321e+06 2.4 \n", + " education_income_ratio weighted_satisfaction_performance \\\n", + "0 1578410.00 1.0 \n", + "1 2003154.00 2.2 \n", + "2 1394384.00 3.0 \n", + "3 1037999.75 2.6 \n", + "4 1560817.00 2.6 \n", "\n", - " resign_risk_indicator adjusted_work_time \n", - "0 Medium 9.280456 \n", - "1 Medium 9.809471 \n", - "2 Medium 9.534629 \n", - "3 Medium 9.468933 \n", - "4 Medium 8.968309 \n", - ".. ... ... \n", - "804 Medium 9.517378 \n", - "805 Medium 9.214229 \n", - "806 Medium 9.693506 \n", - "807 Medium 9.278536 \n", - "808 Medium 9.417915 \n", + " resign_risk_indicator adjusted_work_time \n", + "0 Medium 9.797428 \n", + "1 Medium 9.342582 \n", + "2 Medium 9.551975 \n", + "3 Medium 9.180000 \n", + "4 Medium 9.414301 \n", "\n", - "[809 rows x 37 columns]" + "[5 rows x 37 columns]" ] }, - "execution_count": 4, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_test = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\data_testing_resign.csv')\n", - "df_test" + "df_test = pd.read_csv('D:/Tugas Akhir/Codingan/Notebook - Playground/preprocessed_data_test_7.csv')\n", + "df_test.head()" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 34, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Jumlah baris sebelum filter: 809\n", - "Jumlah baris setelah filter: 809\n" - ] + "data": { + "text/plain": [ + "churn_status\n", + "1 161\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "# Memilih hanya kolom numerik\n", - "numerical_columns = df_test.select_dtypes(include=['int64', 'float64']).columns\n", - "\n", - "# Filter: Hanya menyimpan baris yang tidak memiliki nilai negatif\n", - "df_test_filtered = df_test[(df_test[numerical_columns] >= 0).all(axis=1)]\n", - "\n", - "# Menampilkan hasil\n", - "print(\"Jumlah baris sebelum filter:\", df_test.shape[0])\n", - "print(\"Jumlah baris setelah filter:\", df_test_filtered.shape[0])" + "df_test['churn_status'].value_counts()" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 35, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "161" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "df_test = df_test.dropna(subset=['marriage_stat'])" + "len(df_test)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Accuracy: 0.9913473423980222\n", + "Accuracy: 1.0\n", "Precision: 1.0\n", - "Recall: 0.9913473423980222\n", - "F1 Score: 0.9956548727498449\n" + "Recall: 1.0\n", + "F1 Score: 1.0\n" ] } ], @@ -5196,7 +4574,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -5210,7 +4588,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.16" + "version": "3.10.3" } }, "nbformat": 4, diff --git a/notebook/train_regression.ipynb b/notebook/train_regression.ipynb index 206cebd..9767ed4 100644 --- a/notebook/train_regression.ipynb +++ b/notebook/train_regression.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -23,36 +23,236 @@ }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\numpy\\__init__.py:148: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service\n", - " from . import _distributor_init\n" - ] - }, - { - "ename": "ImportError", - "evalue": "Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m 3\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD:\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mTugas Akhir\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mCodingan\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mDevelopment\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mData\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mpreprocessed_data_train.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 4\u001b[0m df\u001b[38;5;241m.\u001b[39mhead()\n", - "File \u001b[1;32mc:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\pandas\\__init__.py:16\u001b[0m\n\u001b[0;32m 13\u001b[0m missing_dependencies\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdependency\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m missing_dependencies:\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[0;32m 17\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to import required dependencies:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(missing_dependencies)\n\u001b[0;32m 18\u001b[0m )\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m hard_dependencies, dependency, missing_dependencies\n\u001b[0;32m 21\u001b[0m \u001b[38;5;66;03m# numpy compat\u001b[39;00m\n", - "\u001b[1;31mImportError\u001b[0m: Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n" - ] + "data": { + "text/html": [ + "
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employee_iddomisilijenis_kelamindate_of_birthjoin_dateresign_datemarriage_statdependanteducationabsent_90D...active_work_categorywork_stability_scoremarried_dependent_ratioposition_scorejob_income_position_scoreeducation_scoreeducation_income_ratioweighted_satisfaction_performanceresign_risk_indicatoradjusted_work_time
0EM10510Kota Jakarta UtaraLaki-laki1983-09-112021-02-092023-06-22Married1SLTA9.0...Mid-term2.800000211418218.011.418218e+062.2Medium9.246870
1EM4322Kabupaten BekasiPerempuan1987-03-222022-02-282023-04-04Married1SLTA0.0...Mid-term13.000000211060575.011.060575e+061.6Medium9.650000
2EM1637Kota Jakarta BaratLaki-laki1970-04-272020-12-232023-03-25Married4D24.0...Mid-term5.400000514885136.031.628379e+061.0Medium9.813826
3EM14613Kota Jakarta PusatLaki-laki1988-06-102022-11-212024-03-23Married1D32.0...Mid-term5.333333214602479.041.150620e+062.4Medium9.756440
4EM1084Kabupaten BogorPerempuan1977-05-252021-06-072023-07-21Married3SLTA0.0...Mid-term25.000000411066966.011.066966e+062.6Medium9.080000
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5 rows × 37 columns

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" + ], + "text/plain": [ + " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", + "0 EM10510 Kota Jakarta Utara Laki-laki 1983-09-11 2021-02-09 \n", + "1 EM4322 Kabupaten Bekasi Perempuan 1987-03-22 2022-02-28 \n", + "2 EM1637 Kota Jakarta Barat Laki-laki 1970-04-27 2020-12-23 \n", + "3 EM14613 Kota Jakarta Pusat Laki-laki 1988-06-10 2022-11-21 \n", + "4 EM1084 Kabupaten Bogor Perempuan 1977-05-25 2021-06-07 \n", + "\n", + " resign_date marriage_stat dependant education absent_90D ... \\\n", + "0 2023-06-22 Married 1 SLTA 9.0 ... \n", + "1 2023-04-04 Married 1 SLTA 0.0 ... \n", + "2 2023-03-25 Married 4 D2 4.0 ... \n", + "3 2024-03-23 Married 1 D3 2.0 ... \n", + "4 2023-07-21 Married 3 SLTA 0.0 ... \n", + "\n", + " active_work_category work_stability_score married_dependent_ratio \\\n", + "0 Mid-term 2.800000 2 \n", + "1 Mid-term 13.000000 2 \n", + "2 Mid-term 5.400000 5 \n", + "3 Mid-term 5.333333 2 \n", + "4 Mid-term 25.000000 4 \n", + "\n", + " position_score job_income_position_score education_score \\\n", + "0 1 1418218.0 1 \n", + "1 1 1060575.0 1 \n", + "2 1 4885136.0 3 \n", + "3 1 4602479.0 4 \n", + "4 1 1066966.0 1 \n", + "\n", + " education_income_ratio weighted_satisfaction_performance \\\n", + "0 1.418218e+06 2.2 \n", + "1 1.060575e+06 1.6 \n", + "2 1.628379e+06 1.0 \n", + "3 1.150620e+06 2.4 \n", + "4 1.066966e+06 2.6 \n", + "\n", + " resign_risk_indicator adjusted_work_time \n", + "0 Medium 9.246870 \n", + "1 Medium 9.650000 \n", + "2 Medium 9.813826 \n", + "3 Medium 9.756440 \n", + "4 Medium 9.080000 \n", + "\n", + "[5 rows x 37 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", - "df = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\preprocessed_data_train.csv')\n", + "df = pd.read_csv('preprocessed_data_train_3.csv')\n", "df.head()" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -84,31 +284,15 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "df = df.dropna(subset=['marriage_stat'])" - ] - }, - { - "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "id": "qT7W_7qbUmtZ" }, "outputs": [], "source": [ - "# from sklearn.model_selection import train_test_split\n", - "\n", - "# cat_feature = ['departemen', 'position', 'domisili', 'marriage_stat', 'job_satisfaction', 'performance_rating',\n", - "# 'education', 'active_work_category', 'resign_risk_indicator', 'jenis_kelamin']\n", - "\n", "X = df.drop(columns=['active_work_months','churn_status', 'employee_id', 'date_of_birth', 'join_date', 'resign_date'])\n", "y = df['active_work_months']\n", "\n", - "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", - "\n", "df['join_date'] = pd.to_datetime(df['join_date'])\n", "\n", "train_data = df[df['join_date'] < '2023-01-01']\n", @@ -126,7 +310,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -149,26 +333,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 13.5633497\ttest: 22.5835323\tbest: 22.5835323 (0)\ttotal: 258ms\tremaining: 4m 17s\n", - "200:\tlearn: 2.2131170\ttest: 4.9022408\tbest: 4.9022408 (200)\ttotal: 8.86s\tremaining: 35.2s\n", - "400:\tlearn: 0.5838665\ttest: 2.2138070\tbest: 2.2138070 (400)\ttotal: 17.6s\tremaining: 26.2s\n", - "600:\tlearn: 0.3577892\ttest: 1.7168738\tbest: 1.7168738 (600)\ttotal: 26.6s\tremaining: 17.7s\n", - "800:\tlearn: 0.3073068\ttest: 1.5536284\tbest: 1.5536284 (800)\ttotal: 35.5s\tremaining: 8.82s\n", - "999:\tlearn: 0.2891487\ttest: 1.4757698\tbest: 1.4757678 (998)\ttotal: 44.5s\tremaining: 0us\n", + "0:\tlearn: 13.5942904\ttest: 23.3418347\tbest: 23.3418347 (0)\ttotal: 191ms\tremaining: 3m 10s\n", + "200:\tlearn: 2.2250306\ttest: 5.0068018\tbest: 5.0068018 (200)\ttotal: 8.01s\tremaining: 31.8s\n", + "400:\tlearn: 0.5799503\ttest: 2.2619679\tbest: 2.2619679 (400)\ttotal: 16.9s\tremaining: 25.2s\n", + "600:\tlearn: 0.3616911\ttest: 1.7906967\tbest: 1.7906967 (600)\ttotal: 25.9s\tremaining: 17.2s\n", + "800:\tlearn: 0.3091173\ttest: 1.6207404\tbest: 1.6207404 (800)\ttotal: 34.6s\tremaining: 8.6s\n", + "999:\tlearn: 0.2895548\ttest: 1.5407851\tbest: 1.5407851 (999)\ttotal: 43s\tremaining: 0us\n", "\n", - "bestTest = 1.475767819\n", - "bestIteration = 998\n", - "\n", - "Shrink model to first 999 iterations.\n" + "bestTest = 1.540785132\n", + "bestIteration = 999\n", + "\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -238,19 +421,19 @@ " \n", " \n", " MSE\n", - " 2.177891\n", + " 2.374019\n", " \n", " \n", " MAE\n", - " 0.834776\n", + " 0.902642\n", " \n", " \n", " RMSE\n", - " 1.475768\n", + " 1.540785\n", " \n", " \n", " R2 Score\n", - " 0.930862\n", + " 0.925505\n", " \n", " \n", "\n", @@ -258,10 +441,10 @@ ], "text/plain": [ " Score\n", - "MSE 2.177891\n", - "MAE 0.834776\n", - "RMSE 1.475768\n", - "R2 Score 0.930862" + "MSE 2.374019\n", + "MAE 0.902642\n", + "RMSE 1.540785\n", + "R2 Score 0.925505" ] }, "execution_count": 6, @@ -301,7 +484,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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", "text/plain": [ "
" ] @@ -354,34 +537,34 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "[I 2025-01-15 20:13:29,609] A new study created in memory with name: no-name-08bf7bda-2a69-4819-aee4-c38c972943cd\n", - "[I 2025-01-15 20:14:05,596] Trial 0 finished with value: 2.7842129590357327 and parameters: {'iterations': 947, 'learning_rate': 0.021474274017260056, 'depth': 6, 'subsample': 0.6597772630375474, 'colsample_bylevel': 0.6725654633870543, 'l2_leaf_reg': 11.904064563391351, 'random_strength': 6.636852794260673}. Best is trial 0 with value: 2.7842129590357327.\n", - "[I 2025-01-15 20:14:18,537] Trial 1 finished with value: 3.3604966459792873 and parameters: {'iterations': 532, 'learning_rate': 0.014997699392015939, 'depth': 4, 'subsample': 0.5066064744995207, 'colsample_bylevel': 0.6769577723016567, 'l2_leaf_reg': 18.54766425803946, 'random_strength': 7.313362982904383}. Best is trial 0 with value: 2.7842129590357327.\n", - "[I 2025-01-15 20:14:35,244] Trial 2 finished with value: 10.731547937509777 and parameters: {'iterations': 745, 'learning_rate': 0.0018382281881892761, 'depth': 4, 'subsample': 0.6467320760058648, 'colsample_bylevel': 0.557736500080584, 'l2_leaf_reg': 14.828021101711611, 'random_strength': 9.019716501749155}. Best is trial 0 with value: 2.7842129590357327.\n", - "[I 2025-01-15 20:14:49,463] Trial 3 finished with value: 1.70690993706933 and parameters: {'iterations': 567, 'learning_rate': 0.03781343917057186, 'depth': 4, 'subsample': 0.6039387723621907, 'colsample_bylevel': 0.6808598591491113, 'l2_leaf_reg': 11.477573214087545, 'random_strength': 9.74704206793275}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:15:13,235] Trial 4 finished with value: 6.377846207599941 and parameters: {'iterations': 682, 'learning_rate': 0.003970846204103649, 'depth': 6, 'subsample': 0.782742848821905, 'colsample_bylevel': 0.6991305457084517, 'l2_leaf_reg': 11.814370178020795, 'random_strength': 7.978490486571175}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:15:34,758] Trial 5 finished with value: 3.8532653988417978 and parameters: {'iterations': 703, 'learning_rate': 0.009627989777082258, 'depth': 5, 'subsample': 0.6758350820650804, 'colsample_bylevel': 0.6845137435168039, 'l2_leaf_reg': 14.54643516179267, 'random_strength': 7.928157458442849}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:15:56,121] Trial 6 finished with value: 7.911327625120516 and parameters: {'iterations': 617, 'learning_rate': 0.003161788308676907, 'depth': 6, 'subsample': 0.655849596099901, 'colsample_bylevel': 0.5907470643588891, 'l2_leaf_reg': 15.953005158515333, 'random_strength': 6.33160838409998}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:16:20,651] Trial 7 finished with value: 2.6472143447255028 and parameters: {'iterations': 762, 'learning_rate': 0.0651233495346411, 'depth': 5, 'subsample': 0.6045406434832912, 'colsample_bylevel': 0.6408137062270973, 'l2_leaf_reg': 7.3636217948679885, 'random_strength': 5.056590959434105}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:16:40,416] Trial 8 finished with value: 3.904345034752064 and parameters: {'iterations': 836, 'learning_rate': 0.0063081178897640665, 'depth': 4, 'subsample': 0.6209534648047793, 'colsample_bylevel': 0.6735288310668713, 'l2_leaf_reg': 14.619073756706687, 'random_strength': 7.447109529616001}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:17:12,248] Trial 9 finished with value: 2.675917946189127 and parameters: {'iterations': 995, 'learning_rate': 0.029430371458377378, 'depth': 5, 'subsample': 0.7838327288912854, 'colsample_bylevel': 0.6968730335788775, 'l2_leaf_reg': 6.590606976608566, 'random_strength': 7.1462545755187366}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:17:25,774] Trial 10 finished with value: 2.4922635454584756 and parameters: {'iterations': 503, 'learning_rate': 0.08959558982916915, 'depth': 4, 'subsample': 0.5117214866989651, 'colsample_bylevel': 0.7761028884115426, 'l2_leaf_reg': 9.546619424302936, 'random_strength': 9.468866323105104}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:17:38,867] Trial 11 finished with value: 1.744493954106988 and parameters: {'iterations': 504, 'learning_rate': 0.09492600457554262, 'depth': 4, 'subsample': 0.5004298952554207, 'colsample_bylevel': 0.7922138691597381, 'l2_leaf_reg': 9.734927799742529, 'random_strength': 9.936390327287459}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:17:53,899] Trial 12 finished with value: 2.151305735187685 and parameters: {'iterations': 590, 'learning_rate': 0.04527434848399387, 'depth': 4, 'subsample': 0.5613306996433728, 'colsample_bylevel': 0.7844782145581627, 'l2_leaf_reg': 8.71724115650851, 'random_strength': 9.767586689208404}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:18:08,769] Trial 13 finished with value: 2.20265785283312 and parameters: {'iterations': 590, 'learning_rate': 0.041259515389968866, 'depth': 4, 'subsample': 0.7140194720599207, 'colsample_bylevel': 0.7444231994330105, 'l2_leaf_reg': 10.07294144120628, 'random_strength': 8.771995918460187}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:18:23,736] Trial 14 finished with value: 2.6079691048763585 and parameters: {'iterations': 502, 'learning_rate': 0.08460466557013521, 'depth': 5, 'subsample': 0.5587677216450273, 'colsample_bylevel': 0.516048785445198, 'l2_leaf_reg': 11.017167930786023, 'random_strength': 9.982359815218986}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:18:39,599] Trial 15 finished with value: 2.132731119368835 and parameters: {'iterations': 624, 'learning_rate': 0.046020548752808504, 'depth': 4, 'subsample': 0.5628765445757447, 'colsample_bylevel': 0.7389480544787516, 'l2_leaf_reg': 5.290599965354091, 'random_strength': 8.656602115357634}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:18:56,192] Trial 16 finished with value: 3.5482068496788455 and parameters: {'iterations': 560, 'learning_rate': 0.020510851473925385, 'depth': 5, 'subsample': 0.7195393184364242, 'colsample_bylevel': 0.6243422046941179, 'l2_leaf_reg': 13.064507268703021, 'random_strength': 9.245627139927496}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:19:12,951] Trial 17 finished with value: 3.3575114872171645 and parameters: {'iterations': 667, 'learning_rate': 0.012523349283214951, 'depth': 4, 'subsample': 0.5344273642074554, 'colsample_bylevel': 0.7448170199649261, 'l2_leaf_reg': 7.893350620289716, 'random_strength': 8.369812485816734}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:19:40,464] Trial 18 finished with value: 1.8672095214450317 and parameters: {'iterations': 844, 'learning_rate': 0.09708642998838826, 'depth': 5, 'subsample': 0.6022210392087399, 'colsample_bylevel': 0.7962309080793653, 'l2_leaf_reg': 19.69295037962641, 'random_strength': 9.505062844821552}. Best is trial 3 with value: 1.70690993706933.\n", - "[I 2025-01-15 20:19:53,762] Trial 19 finished with value: 2.499504916116985 and parameters: {'iterations': 551, 'learning_rate': 0.03006684196464984, 'depth': 4, 'subsample': 0.5855833584969841, 'colsample_bylevel': 0.6087741643186144, 'l2_leaf_reg': 16.820613373939256, 'random_strength': 9.989894548577027}. Best is trial 3 with value: 1.70690993706933.\n" + "[I 2025-01-31 22:03:50,597] A new study created in memory with name: no-name-474216de-e104-4659-8f4c-89a9d348bbe2\n", + "[I 2025-01-31 22:04:09,058] Trial 0 finished with value: 11.852841151612708 and parameters: {'iterations': 759, 'learning_rate': 0.0014964661109911665, 'depth': 4, 'subsample': 0.5345403763007321, 'colsample_bylevel': 0.5557879487166669, 'l2_leaf_reg': 14.523593619112225, 'random_strength': 5.436136126384264}. Best is trial 0 with value: 11.852841151612708.\n", + "[I 2025-01-31 22:04:26,185] Trial 1 finished with value: 2.782326827024678 and parameters: {'iterations': 631, 'learning_rate': 0.0688926002637438, 'depth': 4, 'subsample': 0.5589286667267055, 'colsample_bylevel': 0.5102559732260701, 'l2_leaf_reg': 12.03344970062869, 'random_strength': 7.74554502548946}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:04:40,370] Trial 2 finished with value: 6.727048715765419 and parameters: {'iterations': 543, 'learning_rate': 0.004111528098062327, 'depth': 4, 'subsample': 0.7394617829547927, 'colsample_bylevel': 0.6796950909515516, 'l2_leaf_reg': 14.783270804681484, 'random_strength': 6.010320137030617}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:05:06,114] Trial 3 finished with value: 4.690053329511069 and parameters: {'iterations': 962, 'learning_rate': 0.004328088977730701, 'depth': 4, 'subsample': 0.613225875921462, 'colsample_bylevel': 0.7077028189537486, 'l2_leaf_reg': 5.0512639148135055, 'random_strength': 8.213889453763334}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:05:37,726] Trial 4 finished with value: 3.7838313230344505 and parameters: {'iterations': 809, 'learning_rate': 0.011313129007769103, 'depth': 6, 'subsample': 0.5016261860337349, 'colsample_bylevel': 0.5766456136058663, 'l2_leaf_reg': 5.998060972309887, 'random_strength': 6.018890370319019}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:06:02,736] Trial 5 finished with value: 4.852253440694461 and parameters: {'iterations': 748, 'learning_rate': 0.00520517267258286, 'depth': 5, 'subsample': 0.5485566035315403, 'colsample_bylevel': 0.5337409295485034, 'l2_leaf_reg': 14.713809483161187, 'random_strength': 5.279249030163157}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:06:23,820] Trial 6 finished with value: 3.8733461927022397 and parameters: {'iterations': 694, 'learning_rate': 0.009239979129411872, 'depth': 4, 'subsample': 0.688277277261536, 'colsample_bylevel': 0.6620877160267076, 'l2_leaf_reg': 11.460620744541892, 'random_strength': 6.934032197250438}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:07:03,131] Trial 7 finished with value: 3.2239910016287734 and parameters: {'iterations': 918, 'learning_rate': 0.031176473967143774, 'depth': 6, 'subsample': 0.6860333334924864, 'colsample_bylevel': 0.7839197568184811, 'l2_leaf_reg': 14.496727744464716, 'random_strength': 7.6124177760405765}. Best is trial 1 with value: 2.782326827024678.\n", + "[I 2025-01-31 22:07:39,702] Trial 8 finished with value: 2.3342054540264265 and parameters: {'iterations': 831, 'learning_rate': 0.04518694466082468, 'depth': 6, 'subsample': 0.5547145239784439, 'colsample_bylevel': 0.6605692487332455, 'l2_leaf_reg': 5.931089190499905, 'random_strength': 9.381970152240088}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:08:15,167] Trial 9 finished with value: 6.898961698774608 and parameters: {'iterations': 801, 'learning_rate': 0.0030466204092430872, 'depth': 6, 'subsample': 0.5885034372327637, 'colsample_bylevel': 0.7795385742828266, 'l2_leaf_reg': 8.36924405524966, 'random_strength': 7.924454636979776}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:08:44,351] Trial 10 finished with value: 2.813059906292731 and parameters: {'iterations': 869, 'learning_rate': 0.09506915985958232, 'depth': 5, 'subsample': 0.773053102270278, 'colsample_bylevel': 0.6098195826696574, 'l2_leaf_reg': 19.907766421634943, 'random_strength': 9.961512860567842}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:09:03,895] Trial 11 finished with value: 2.368947282806889 and parameters: {'iterations': 616, 'learning_rate': 0.09490011276218288, 'depth': 5, 'subsample': 0.5879129821636959, 'colsample_bylevel': 0.5114011291482327, 'l2_leaf_reg': 9.74540222842541, 'random_strength': 9.118958428692489}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:09:20,976] Trial 12 finished with value: 2.9492933999301365 and parameters: {'iterations': 538, 'learning_rate': 0.03734917543038907, 'depth': 5, 'subsample': 0.634101535755758, 'colsample_bylevel': 0.6149087607795556, 'l2_leaf_reg': 8.754851646806793, 'random_strength': 9.52252352465122}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:09:46,193] Trial 13 finished with value: 3.065532855429015 and parameters: {'iterations': 630, 'learning_rate': 0.038017280754407835, 'depth': 6, 'subsample': 0.5930689989662581, 'colsample_bylevel': 0.7302958917359129, 'l2_leaf_reg': 8.836162641729628, 'random_strength': 8.981981072468267}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:10:11,617] Trial 14 finished with value: 3.3908649932569825 and parameters: {'iterations': 628, 'learning_rate': 0.019178482067712114, 'depth': 5, 'subsample': 0.668068547462943, 'colsample_bylevel': 0.6232205705636187, 'l2_leaf_reg': 7.173889636634161, 'random_strength': 8.820311100011175}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:10:39,432] Trial 15 finished with value: 2.9044988796143985 and parameters: {'iterations': 869, 'learning_rate': 0.06260333828159473, 'depth': 5, 'subsample': 0.5010675524635919, 'colsample_bylevel': 0.5004056047202005, 'l2_leaf_reg': 10.229894565431731, 'random_strength': 8.816149945416772}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:11:00,589] Trial 16 finished with value: 3.725099096600906 and parameters: {'iterations': 501, 'learning_rate': 0.09429316501260981, 'depth': 6, 'subsample': 0.5698961859044438, 'colsample_bylevel': 0.58173768320992, 'l2_leaf_reg': 6.5820739952329905, 'random_strength': 9.533926389710716}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:11:23,980] Trial 17 finished with value: 2.722341758877473 and parameters: {'iterations': 686, 'learning_rate': 0.023070272594262208, 'depth': 5, 'subsample': 0.6317324050504781, 'colsample_bylevel': 0.72562237372333, 'l2_leaf_reg': 10.240074501827097, 'random_strength': 6.92600047428353}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:11:56,050] Trial 18 finished with value: 2.6781381800641975 and parameters: {'iterations': 996, 'learning_rate': 0.05258897533675518, 'depth': 5, 'subsample': 0.5231598132903472, 'colsample_bylevel': 0.6477077001044423, 'l2_leaf_reg': 18.592000812751706, 'random_strength': 8.344932947613101}. Best is trial 8 with value: 2.3342054540264265.\n", + "[I 2025-01-31 22:12:18,385] Trial 19 finished with value: 3.4976580765293415 and parameters: {'iterations': 584, 'learning_rate': 0.019380508698435384, 'depth': 6, 'subsample': 0.5836852243872083, 'colsample_bylevel': 0.6877774946763483, 'l2_leaf_reg': 7.57681462211325, 'random_strength': 9.432363107129735}. Best is trial 8 with value: 2.3342054540264265.\n" ] }, { @@ -389,8 +572,8 @@ "output_type": "stream", "text": [ "Best trial:\n", - " RMSE: 1.70690993706933\n", - " Params: {'iterations': 567, 'learning_rate': 0.03781343917057186, 'depth': 4, 'subsample': 0.6039387723621907, 'colsample_bylevel': 0.6808598591491113, 'l2_leaf_reg': 11.477573214087545, 'random_strength': 9.74704206793275}\n" + " RMSE: 2.3342054540264265\n", + " Params: {'iterations': 831, 'learning_rate': 0.04518694466082468, 'depth': 6, 'subsample': 0.5547145239784439, 'colsample_bylevel': 0.6605692487332455, 'l2_leaf_reg': 5.931089190499905, 'random_strength': 9.381970152240088}\n" ] } ], @@ -426,7 +609,7 @@ " y_pred = model.predict(X_valid)\n", "\n", " # Hitung RMSE\n", - " rmse = mean_squared_error(y_valid, y_pred, squared=False)\n", + " rmse = np.sqrt(mean_squared_error(y_valid, y_pred))\n", "\n", " return rmse # Mengembalikan RMSE sebagai skor yang ingin diminimalkan\n", "\n", @@ -442,22 +625,24 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 13.3189474\ttest: 22.4201913\tbest: 22.4201913 (0)\ttotal: 30.4ms\tremaining: 17.2s\n", - "200:\tlearn: 1.3383498\ttest: 3.1531773\tbest: 3.1531773 (200)\ttotal: 4.53s\tremaining: 8.25s\n", - "400:\tlearn: 0.5436172\ttest: 1.9572286\tbest: 1.9572286 (400)\ttotal: 9.49s\tremaining: 3.93s\n", - "566:\tlearn: 0.4106783\ttest: 1.7069099\tbest: 1.7069099 (566)\ttotal: 13.6s\tremaining: 0us\n", + "0:\tlearn: 13.2553205\ttest: 22.9596935\tbest: 22.9596935 (0)\ttotal: 33.4ms\tremaining: 27.7s\n", + "200:\tlearn: 0.9396532\ttest: 3.4434437\tbest: 3.4434437 (200)\ttotal: 7.79s\tremaining: 24.4s\n", + "400:\tlearn: 0.3768311\ttest: 2.5350476\tbest: 2.5350476 (400)\ttotal: 18.5s\tremaining: 19.8s\n", + "600:\tlearn: 0.3062632\ttest: 2.4067533\tbest: 2.4067533 (599)\ttotal: 28s\tremaining: 10.7s\n", + "800:\tlearn: 0.2733607\ttest: 2.3423564\tbest: 2.3423564 (800)\ttotal: 37s\tremaining: 1.39s\n", + "830:\tlearn: 0.2690607\ttest: 2.3342055\tbest: 2.3342055 (830)\ttotal: 38.8s\tremaining: 0us\n", "\n", - "bestTest = 1.706909937\n", - "bestIteration = 566\n", + "bestTest = 2.334205454\n", + "bestIteration = 830\n", "\n", - "Final RMSE: 1.70690993706933\n" + "Final RMSE: 2.3342054540264265\n" ] } ], @@ -483,18 +668,18 @@ "\n", "# Evaluasi model final\n", "y_pred = final_model.predict(X_valid)\n", - "final_rmse = mean_squared_error(y_valid, y_pred, squared=False) # Hitung RMSE\n", + "final_rmse = np.sqrt(mean_squared_error(y_valid, y_pred)) # Hitung RMSE\n", "print(f\"Final RMSE: {final_rmse}\")" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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LofWtbWJndGVYV++1rH/sWnXWXSTK6Pn6669dC2LouC79X5+n7pIebY/aLtWC5b/iXZvtUX+jFmjt39QNObTlUevQawlSy5y2Ha9M3kOtTdqHeXVRGf2+1OXRa1HS36q7ndearxY7r7udrtirq5j32TXdD+i3FDrmxE8t9GpdVKvY//3f/9W4ztSqpN+VyqRuWqoDr0U7lH7H+s2py7FaGD3q5u2Ny/KOQx61nISuR+0n9T4rVqyodvl29h7eb0Gtqv7WuJ3Rfkkt0pVR64+2ldDHzvj3DV6SCG334bqE1gW9r7Z7HT/vu+++cvOUdELbkJ93rPNnwvXqY2etZ0gsBEqIezrASmjf5KroIKODtD+jmvpQ68DjP5CFBkOhO3+dUIab7h/zoM8KPbiKBpNKaDcXHezUfUU78RYtWriTVnWl8vpyh/JnI6rqREJZy1RWdTdQt5fQoMb7rjqJ91Og5K8LlU3l8h9c/N/Zr7LPUR951U1NTh5C6YRPJ4YKHNVF0nvoZE1BoNe1QidrOpFRV5P6ppNfdedURiUdpNWfXnWmE+hw63Jn1GVJ60InvB79X+8bOuh4Z+t6Z7wTI50oqxuWN64ulLqDqrtQKI1B0PdSlxt9z9CHTti95BzeOvanZdZyVZ2whXYDrO36i0QZQ8ccqdudtmtve9TvRt1jQ4N3fSftG6pzwaO6FDjr5O+f//yne63vpt+HTiS9E27VhWjb8deFggGvLqqiwMcbi6QuXAowtO8SBUwaV6Qusf7xSTXdDyjAqyyrn7rM3njjje5R3XFJft5YGY3X0rpRV8lwF9y0/9AJebj9pLrm6jevtNVVHTe87Wdn+8qavIf2e+ripi6b2h8oRbvSs/vH3lSmqrE42ofo4knooyrh9g06TumC5F/+8hdXPu1PtJ+pzX4wHAWNWofaXynQVXfOUAqewtWFl9Ew9OJkaH3U5YUzxD+y3qFBBEraQeoksSaquzP0+vVXd3ptBoJq4PcJJ5zgxmBofImuVKrvuA56oZl5PP4dfGU09khXIdUyoJMg9d/X1VddRVXf/5qq7DtHi1oKdCDUWIdw2Zt08qOTiPrkT2Sh8WUav6AB1UoYoqBXJ8S6iu4fv1aTE2DdFFInpjqR04mwWgRCU8Hv6rrWiVFlWa7CtZZ59J0UgFSWQMMfWEdDpMropanXWKFwAZCCEAUvasWqDwpWFJBpTJtaOjSmRYFTaMujtw1qLIguDvlV5/YCCnw0HkaBkAIlL3GJFyjpN6mU4Gpp0ft5QVRNVbWf06B+XSjxxrRU9+JRKO1nNcZI+w59l7rMdFcXx4edvYd3ryeNAdK6VsuN9jv6PppW1XamsYc1Cdp2Jty+QVQWJWdQ8gTtlzQOVGNhVT5/YFVTaonUBUb9rsNlqtP61Tg0P2+aP7Dy6sOfLAKJjUAJDYKuBGpA7yeffFKum1w4SterkwVdWQ0dqK9MTjrwan5d0mfp6rzXiiReS4eXhEEHaF111oEutKtAuJs31pQOFupap4dO1DS4VSfdOnn2vquuDvsPNJpWV3UR+jmhrWvq8qIuVTu7WlkZHSDVyuBPjCEaIK4gU4GSToQVUO8smK4qeNbVXH9yC5XffyDWiYsGnSsDYyj9bW0PwDrR1ffQdqKkIGodC5d4pKp1XV+UqEBdqtSKV9WJrbcN6HcXug3oav3OTtj0GaL1V9W2Utn6i0QZvVYOZd5SYgZ/EhD9vbpSqcudEsCoTNo36Gq4khXU9DtVRgGzklVoG1HLo/YxoYGKV5cKHGv7uwtN6KB9rurVo5NP1aMCDz2UoMYbYF+X+wH9lvRbU1mUgEFl8Z/4VocCSiX3UW8CZU4LR/sPfQeVO9wNshUg+HsYVEddtVxo/eqh37r2eUrooKQ1+l6VUSu1l9GyvimQ1kPdIxVYa3t5/PHHy1Lm16Ye1Iqo46OSYlR2+wL9rnQRUr+z0CBOXZS1PkOPyeLVR00T+KBho+sdGgRlIVJ3Fx0YFPD4qZuLl0bYOxhqBxtKGcpE41vq2vjx48tdDdRrtRjpAO9dOdTBIrR1Qt3yqnu38nD0Xv4uDjo50smE1x1BLQiapoNWaBcFdUVRtrS6qgudAKkLjTLNhV5RVTChMtbmc9TVZcaMGe7EUBm9/A+NbVC3Jx0UdZDU+AJddVWXPD+vTN59P/wBkXeCqc8LpeDc36Kkdem/aqyWL3+69ZrQgVsnGjrx1UMBUWha3+qs6/qi+tfnq/UsXCYsry61DWibV0tEaP34f4fhKOBTi4GW9a+b0PeqbP1Fooyh3e50EuffHnX1W136vFYtbY/aLhVU+Vsa/d8p3PZYVVCtda50y7ptgD/Vtbo/6aKBWj7DjWvxp58OR9uV1se7777rfk/+bKN6rX2XAovQtOB1vR9Qi4QCYLWaafyZxt3UlNaNLrSoJb+ybn76TSu7nFpFQrtL61ijwETf0esCXhM1Xbd+Cr79+xov6N7Z714XFHXhoT73DwrW9fsKpf2YtvvQz61pPai1XJn1lJ009LYf4dat1lHo+E61ymt/rPGq/vFL6jKqLvRqrQQ8tCihQdBJrA5YOknQSeX555/vWhp0pdK74Zx3bwaN+dDNSHWSq52z+nnrDu06sdDJS2UpaGtLLUU6YdFnarC0ghANWtZO3uvyoxMEBWpKI64rnGoNUF9ujaPS2Jba0JgtnUjoYKHvrG4YOqlQlxivm5pOCtU9S0GF6kFX5nRg8VKOKwV5XdD3vPnmm12riL6juhnqJEonJ/vtt5+7wl5TWt86SdB7haOAWN1+dGKqeteJobp+6Hvqyr62E7UGadvQ1WhdUdZJhk6KVCc6cdOBVC1tCjoUhCuRhcYE6KRMaXvVAuhvJVLrpk5+Vac6YdTAfpXBP06tprRta+C/tifdCyr0Cml11nV9UX2q65O608ydO9edUGq7UquM6lbbksrl3XNLy6mOtH6UpEG/h521tOm7aryeTm60jlS3ChZ1NV+pfL0kCUrOIOreo4BA61Itb5Eoo5emXttGZTfk1Laqz9LvW79tpYNW8KYuk0qDr+1N60yBiMrgfSd9d119199oW6zqhpgKKr33VplCu92JTuj1fkpLrmVVP/reuveT9ku62h96YacyCg689OuhLUqi7V5dEL3l6nM/oO+q37W60GmdK7V6TYIWnRhX515tqn+N4dP3UYut9i1qtVYda3xgbdR03frpmKW6UwIKHQO1H3jyySfd96+sdcyj8Uza9tQKqt9DfdC6UOIijZFT642CJm0z+l16txbw6kH7Kx0DvSDcS47kp67FujCqiw7ah+viRCj9/tTqLvpNq6VN+wu13Oo3rPrSRZNwXbK1frWPYYwSyol22j2gLi1evNilt+3YsaNL5arUrQcddFDgsccec2mbPUrTq3S2Sjms1Mvt2rVzaZhDl/GnoQ2ln44/FbOXNnXs2LFl05TyVClKlVJWKXGbNm0a2G233VyaaX9K4KeeeirQrVs3l0a6R48eLv2qlyp7Z58dLoW1UkgrTW/fvn1dPagc+v+f/vSnCn+ndKhK863PbtGihUtt7KWF9n8Xv3BlrIzSAOu7qc5VD5dffnmFdM/VTQ+uFMzt27evcpnDDjvMpT/30jIrnbvShCtlsb5r586dXV2qrjxPPvmkm640vKHpl7W+brzxRpfmWevx6KOPDixZsiRsevDrrrsukJub69Jra/v75JNPXBrg0FTA1U0PHpoC10vT+9FHH5WbV5N1XVk64J2lGK5s/XueeOIJlyZe31ll0Pq54YYbXAplj+pQvzuvbrR+/vvf/1aoQ3/qa4++t1JNe99xn332cb9tj9KIKxW/1q9SRvu3y7oso9+rr77qPk+/48pMnz7dLaOU1h6lxPZ+ezk5OW4bmTZtWrm03doHqbz6W28bqqyO5NZbb3XzunbtWmlZ9HfahpUSXKmVu3TpErjgggsCs2bNClSHdzsEpST3mz17dtm2umbNmlrtB0LTePuF2y9/9tlnZam6/bdaqO77esKlB/e+l+osMzPT7QMGDx5c7tYRVf2ewq2vytZtdd9D5TnrrLPcflDbj/Z1v/nNb6q9DvX7CU3zXtVneypLDx5u37B06VKXnlvblrYxHVtUZ7oVQahvvvnGrTf93naWht87PlT28P8edFsFfUfd7kDrTHUc7rstXLiw7DYJQKgk/VM+dAJQV9SKpX70oel6AQCINrXu6Oa/ak30p91PNEq2o67V6n5HixJCMUYJAAAgwSjpg1KQq5t3ItPYNqUwVxdIgiT4MUYJAAAgwWjsX01vq9EQKVU6vT5QGVqUAAAAAMCHMUoAAAAA4EOLEgAAAAD4ECgBAAAAQKIlc9Adz3/88Udr1qwZ2UwAAACABBYIBNwNmnWD49CbtydkoKQgqV27dtEuBgAAAIAY8d1339mee+6Z2IGSWpK8ysjKyopqWbZv325vv/22DRkyxFJSUqJalkRBnUcedR5Z1HfkUeeRR51HFvUdedR55OTn57tGFC9GSOhAyetupyApFgKlpk2bunLwI4gM6jzyqPPIor4jjzqPPOo8sqjvyKPOI686Q3JI5gAAAAAAPgRKAAAAAOBDoAQAAAAAiTZGCQAAAJFJu7xjxw4rKSmJdlHijsYoNW7c2LZu3Ur97aJGjRq5uqyL2wIRKAEAAGCXbNu2zVatWmVbtmyJdlHiNshs27aty9LMfT93nRJj5ObmWmpq6i69D4ESAAAAaq20tNSWLVvmruTrJp46OeVkv+Z1WFBQYJmZmTu9CSqqDjgVtP/0009um+zWrdsu1SeBEgAAAGpNJ6Y60de9aXQlHzWn+lM9NmnShEBpF6Wnp7sU6ytWrCir09piTQAAAGCXcYKPhrYtskUDAAAAgA+BEgAAAAD4ECgBAAAAMUhJMaZOnVqvn3HYYYfZ1VdfXa+fEa8IlAAAAJDQPvnkE5e177jjjqvx33bs2NEefvhhi7Tjjz/ejjnmmLDzPvzwQxdkff311xEvV0NCoAQAAICYUFpqNm+e2YwZwWe9joSnnnrKrrjiCpsxY4b9+OOPFg8uuugimzZtmn3//fcV5j3zzDO277772j777BOVsjUUBEoRoh/6ggXB/+s5Uj98ALEnWicCABDLZs40O/dcs/PPN7vssuCzXmt6fdL9iyZPnmyXX365a1F69tlnKyzzr3/9y/bbbz+XarpVq1Z20kknlXVbUxrqa665xrXgePePGj16tP3qV78q9x5qdVLrk+eLL76wo446yr1fTk6O++zZs2dXu9y/+c1vrHXr1hXKq+/zyiuvuEBq3bp1dtZZZ9kee+zhUrf36dPHXnrppRp398vOzi73Obox7umnn+6mt2jRwk488URbvnx52fzp06fb/vvvbxkZGW6Zgw46yNVTvIlqoKSoXc2GujlZuJWiFT1y5Ejbc889XU70Xr162eOPP27x+sO/9NLgaz1H4ocPIPZE60QAAGKZ9oGjRpkpTsjOVne24POcOcHp9bmPfPnll61Hjx6211572bnnnmtPP/20u3Gp54033nCB0bHHHmtz5syxd9991wUB8tprr7nz1DvuuMNWrVrlHtW1efNmGz58uH300Uc2c+ZM69Kliwt+NL06GjdubOeff74LYELLqyCppKTEBUhbt261AQMGuO/w3//+1373u9/ZeeedZ59//rnV1vbt2+3oo4+2Zs2auS5+H3/8sbtRrroB6r5FO3bssGHDhtmhhx7quv6pW6M+Nx5vQhzVG84WFhZa37597cILL7STTz65wvxrr73W3nvvPXvhhRdcBP7222/b73//exdYnXDCCRZPP/z16806dAhOa978lx/+uHFmgwZFu5QAIr0/yM3VTfHMiorYHwBIbGpVHz8+uG/s2lUtGsHpmZlmXbqY5eWZTZhgNnCg7o9TP93uFCCJTvY3bdpkH3zwgWstkrvvvtvOPPNMGzNmTNnf6PxV1JqisU0KGtq2bVujzz388MPL3XDWa3HSZytgqg6dQ48dO7ZcedXt7pRTTrHmzZu7xygdYP5H3QvfeustFxx6wV5NTZ482ZX3L3/5S1nwo89Uy5FaktTlT3Wo76DgT3r27GnxKKotSkOHDrW77rqrrPnST9G1Im2teG04ika1Ye5KFBzNH35GRnC6nrXdbNgQ/OHT7QZo+Pz7A50ANGr0y4kA+wMAiWr+fLOFC4MXkPyNDnqt+EPDFrRcXVu0aJE7r1Tri9dKc8YZZ7jgyTN37lw74ogj6vyz16xZY5dccol169bNdb1r37696021cuXKar+HWsIGDRrkWsFkyZIlrpVH3e5ELUt33nmn63KnoE4tPwqUavIZfl999ZX7HAWHej899N5qvcrLy3P/v+CCC1yrk3qOPfLIIzVqaYslUW1R2hmt+H/+858uWlYrkqLUxYsX20MPPVTp3xQXF7uHJz8/v6yZUI9I0o966dJgS1Jaaql1aBEcpNSxxX9txfpe1r59srtKojEKvXpFtGgJw1vnkV73iYw63/n+IDW14vz27a1W+wPqO/Ko88ijzmO7vrWcun6plUGPmlq3TudvSdakiVlID7Iymq5Tu3Xr9BlWp9Qqoq5iOs/06LukpaXZo48+6lpkNPxjZ9/N+/4etbT4p6lbmnjT1G1u/fr17rxWQZLKoeBC57Ghf7ezz/7tb39rV111lT322GMuYFIrzsEHH+z+5oEHHnCByoMPPuiCJY0Z0ngq/2eEllVlV4BVGjJf69grh7oGqjvfX//61wpl0ZgpLaNAU8NnFJSpBer//u//3P8HqlkwAlQGfSeVWy1+oWqyH4npQEkrXK1I6vupCD85OdmefPJJO+SQQyr9m3vvvbdc06hH3fY0iC3Sbr654rRDj1cU/0skr7FvIePfUA+UFQaRRZ1Xb3/gV9v9AfUdedR55FHnsVnfOkdTtzO1hnjBQE2kpCRb48ZNraAgUNb7JlRBgT4jyVJStlh+ft1FSgpMnn/+ede7afDgweXmqSueupPpYr3GyOskX93ZKvv+Gk7iXZwXtbKoFUVd0LzuaUreoBN4bzn1nFK3uV//+tfutbLX/fzzz65lJvS9ioqKyr32U3dBnSMrSHruuedcmb1xTuqSpx5c3pAVfb5a0TQey3tP1YPWm/daySWWLVtW9lqtRFu2bCkrl7rRKfhRYousrKwK5fH+TgGbhszoMWTIEFc21WUk6Puo3pQPQd8vlL5LgwmUPv30U9eq1KFDB/dlR4wY4aL+I488Muzf3HzzzW5sU+jKateunVtB4VZmfV9Bfuz2z+yqw/7PmjXZYOuL29l3HS+xdsuftBZp39vmrdn2yPS77IoxB9CiVE901UA7emWVSUlJiXZxEgJ1Xvn+QIlcNEYx3IlAYaHZpk1mEyfWvEWJ+o4s6jzyqPPYrm+dQCsLmoIDnTzX1AEHmPXuneTGa+pULbT7nVqYfv7ZrH9/LZdZp2OUlERs48aN7kReLUehTj31VJcdTjdi1QV41YW6ualbnk68//Of/9gNN9zglu3UqZPrvqfgRC1RCjQUvFx//fU2ceJEF2Ap0FISCJ2Leuej6nL36quvutYfBVQaS6TWK38AomlVncNqnjLQqYudznsvvfTSsuUV1OgzlMhB3fvUevXTTz9Z7969y5ZRoJeamlr2WmOnFHQNHjzYtSzp3FrbgVcudeubMGGCGx6j7H5q0FBGuylTprjvrO1HDRtewjYFZkuXLnXLR+pcXNuk6k2NK/5tsqqgM24CJUWBt9xyi6t07+ZfygWvfqLjxo2rNFDSBqqHn1ZwpHeuffYutd8O+pM1TV5tazd3tdLkYH+bbTtSbe22Pa1lWp799qA/W5+9B1lyIzK116dorP9ER52X16ePWefOwcQNXbuUWofs+ZaZusEKtuXYio29beXKZHcioOVqcyJAfUcedR551Hls1rdOptVqolYNPWpKf3LFFcGkNuqirDFJXrKb1auVMMFs5Mhgq1JdUouRzicVQPgpUFJrjwIMBQ7KJKdA5P7773cn+zoB976rpis4UeCjLm3q8qVA5E9/+pPdc889rsVKwZICoSeeeKLs79Q9TT2nlPxAF/VvvfVWu/3228vq8pf62Xm9XnzxxS64UWY+BS6e2267zbUOqVVJPav0ecpIp8As9D1DP1Pd9NSd79BDD3WBjrruffnll2XlUECsxosbb7zR1ZMCRKUf1zguJXTQObyCI7XWKT15bm6ua+hQ+vXabB+1oc/Rdwq3DddkHxKzgZI3pshfoepnWJv+r9GQvHm+9e200BYty7XCLUmWkh6crhbA7UVJ1ijQ1vp2WuCWs+w+0S4ugHqkXZkO9M+Om2kn9Bhve7VdaGkpxVa8Pc0Wre5p/0wdaReMGFQvGZ0AINYp46cyfyrpjRI7rFmji9/BlqQRI+onI6jujVQZZYQLTbmt7MzhMjSLxt0owYHfZZdd5h6h1Ajg6devn+uOJ16XPKXuDj33DS1DVQ488MCwyyqxgv/2O37KARBKwZFawEKp5S2UulqqK104CiTV0NEQRDVQUl9WZc3wKOJVi5FWqga1KZJVE56aztT1Tv0sFZ0q0o0L2zZYZnqxdeqabstXmOUXBifv2B7sftOxQ7plpq5xywFo+AZ1m2l7nz3KNq9bbz+sz7WibemWnlpk/TrMsUP6j7KsbuO0VLSLCQBRoWBIY/2V3U6ZQNXQ07t3/aQEB2I+UJo1a1a5wXPe2CL1YdTNsyZNmuT6RZ5zzjkuK4iCJeWy90fnMSs1x6xRmrXIKrKcfpm2Id/sw4C6EJrlqA/u9iKzHWnB5QA0bIFSs8XjLSttvTXr3tWaFSSZEu+kpGRas8wullSYZ7Z4glmrgWZJnBUASEwKitQFGbBED5R0f6SqmhTVrKf+o3GreW+zrJ5mG+ZYUkYXa9ZMI8jMPSfpexevNsvpH1wOQMO2ab5Z/kKz9FzXbzpL+4MySWZpbc3yFwSXoysuAABRx2XL+qSrwt1HBluMdLV4+//63ulZrzW9+wiuHgOJQF1sS4rNGv1vsKJf4/TgfLriAgAQEzhDr2+tB5n1G2eW089sx6bgND2rJUnTNR9Aw/e/rrhWUhR+/o6i4Hy64gIAEBNiNutdg6JgSOMO1s0z+3i52f4TzVr2oSUJSCQhXXEto0vFG4XQFRcAgJjCmXqkKChq/r+7SOqZIAlI8K64BWaBkuAzXXEBAIg5HJEBICpdcTeaFS4PPtMVFwCAmEPXOwCIRldcZbdT4ga1JKm7HS1JAADEFI7MABBpCoqUArzNIcFngiQAaPAuuOACGzZsWLnb5Fx99dURL8f06dPdbSo2btxYr5+TlJRkU6dOtXjG0RkAAAAJG7zohF6P1NRU69q1q91xxx22Y8eOev/s1157ze68886YCm62bdtmrVq1svvuuy/sfJV3t912s+26Y3oCIFACAABAbAiUmm2cZ7Z2RvBZr+vZMcccY6tWrbJvv/3WrrvuOhs9erSNHTu20kCirrRo0cKaNSt39/GoU7B47rnn2jPPPFNhXiAQsGeffdbOP/98S0lJsURAoAQAAIDo+2mm2cxzzT453+zzy4LPeq3p9SgtLc3atm1rHTp0sMsvv9yOPPJI++c//1muu9zdd99tu+++u+21115u+nfffWenn366ZWdnu4DnxBNPtOXLl5e9Z0lJiV177bVufsuWLe2GG25wgUYof9e74uJiu+mmm6xdu3auTGrdeuqpp9z7Dh482C2Tk5PjWpZULiktLbV7773XOnXqZOnp6da3b1/7+9//Xu5z/v3vf1v37t3dfL1PaDnDueiii2zx4sX20UcflZv+wQcf2NKlS938L774wo466ijX+tS8eXM79NBDbfbs2TVqEZs7d66bFloefebBBx/syqp6uPLKK62wsLBs/p/+9Cfr1q2bNWnSxLVsnXrqqVafCJQAAAAQXQqG5owyWz/bLCXbLKNj8Fn3ntP0eg6WQukkPbTl6N1337VFixbZtGnT7PXXX3fdzo4++mjXGvThhx/axx9/bJmZma5lyvu7P/7xj6715emnn3Yn/+vXr7cpU6ZU+bkK0iZNmmSPPvqoLVy40CZOnOjeVwHDq6++6pZROdT69cgjj7jXCpKef/55e/zxx23+/Pl2zTXXuBYhBTVeQHfyySfb8ccf7wKTiy++2AVjVenTp4/tt99+ruyh1Mo0aNAg69Gjh23evNmGDx/uvtunn37qgpdjjz3WTa+tvLw8V4ennHKKff311zZ58mT3/iNHjnTzZ82a5QIndY1UPbz55pt2yCGHWH0i6x0AAACiR93rFo83K15vltn1lxtyN84M3qBb95pbPCGYMbQek9+oxUdB0VtvvWVXXHFF2fSMjAz7y1/+4rqlyQsvvOBacjRNLSJeEKHWI7WcDBkyxB5++GG7+eabXZAiCmT0vpVRC44CKS2jv5fOnTuXzVerlbRp08Z9jtcCdc8999g777xjBx54YNnfKLhQkKVWnj//+c/WpUsXF7iJWsTmzZtn999/f5V1oVajUaNGuaBNwZoCILVU6bUcfvjh5ZZ/4oknXLkUoP3mN7+x2lDQd84555S1sin40ud532PlypVuXej9FaSqBbBfv35Wn2hRAgAAQPTodgn5C83Sc38Jkjx6ndbWLH9BcLl6oFYiBQPqzjV06FA744wz3Dil0BYWL0iSr776ypYsWeJO1vV3eiiQ2bp1q2sV2bRpk2v1OeCAA8r+pnHjxrbvvvtWWga19jRq1MgFBdWlMmzZssV1gfPKoYdamFQOUctUaDnEC6qqctZZZ7nugy+//LJ7rdad5ORkVzeyZs0au+SSS1wwo653WVlZVlBQ4IKZ2lK9qhUu9Luo5U5B6bJly9z3VHCkYPC8886zv/3tb+771ydalAAAABA9uqdcSbFZk/Tw8xunmxWvCS5XDzRuRy0WCoY0DklBTSi1YoRSQDBgwAB3ou7XunXrWnf3qymVQ9544w3bY489ys3TGKddocDn1FNPdS1lF154oXvWmCwFL6Jud+vWrXNdABW86PMUgFWW7EJBloSO0/JnztP3ufTSS133Or/27du79aNxUGq1e/vtt+0Pf/iDC2g1XsprZatrBEoAAACIHt14u1GaWUlRsLud346i4HwtVw8UCClxQnX179/ftbCoG5wCinByc3Pts88+KxtDo3TjX375pfvbcNRqpZYTdV3zut6F8lq01Mrj6dWrlwtQ1IpTWUtUz549yxJTeDSmqDouuugil3BCLW4zZ84slwlQ47KUWEHjkryxUD///HOl7+UFkGppU0IKrxUtlOpmwYIFVa4LBbFKtqHH7bff7gKk9957r6yLY12j6x0AAACip3lvs6yeZltXq8mh/Dy9Ll5tltUruFwM0DgaZXtTpjslc1C3MLVyqCXk+++/d8tcddVV7l5EuuHqN998Y7///e+rvAdSx44dXXc3JVvQ33jv6XV9U6uNxkMpaPnpp59c64u6/mkckRI4PPfcc667nVpcHnvsMfdaLrvsMpf2/Prrr3cJEF588UXXva06DjnkEBe0KB24EjgokYNHXe7++te/uq59CghVJ1W1iul9lJRCLUAqj1rBvHFTnhtvvNEFZEreoCBKy/3jH/8oS+ag764xS5q3YsUK18VQwaWXibA+ECgBAAAgepSgofvIYIuREjdsLzALlASf9VrTu4+o10QONdG0aVObMWOG6w6mlgy12qj1RWOUvBYm3Y9J42jURU1d0hTUnHTSSVW+rwIHZXxTUKXARGOAvNTY6lo3ZswYl7FOabG94EE3gL3ttttcIgSVQ1njFIQoXbiojMqYp+BLqcOVVEIJIKojKSnJdbvbsGGDew6ltOWarlYgfU8FiWphq4zuu/TSSy+5oHGfffZxySTuuuuucstoulrUlNhCKcKVqEHd69QdUtR6pJv0KpGEvqu+i96zd+/6C6CTAv6k7g1Mfn6+G2SmgXWVNY9GivpiKpe9mikT5UZd0UadRx51HlnUd+RR55FHncd2fStAUAuITs6VEKHWlAJc2e+U2EFjltTdTi1JCpJa/9Ka0RCpZUTnrDpX9cbzoPaq2iZrEhswRgkAAADRp2BIKcCV3U6JG9SSpO52MdKShMRDoAQAAIDYoKAou0+0SwE4hOgAAAAA4EOgBAAAAAA+BEoAAADYZQ08PxgScFskUAIAAECteZnxtmzZEu2iAOW2xV3NkkkyBwAAANRao0aN3D1u1q5dW3afId2DBzVLD75t2zaX1pr04LvWkqQgSduitkltm7uCQAkAAAC7pG3btu7ZC5ZQ8xP8oqIiS09PJ8isAwqSvG1yVxAoAQAAYJfo5D43N9fatGnjbliLmlGdzZgxww455BBuqryLVH+72pLkIVACAABAndAJal2dpCYS1dmOHTusSZMmBEoxhE6QAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAABBLgdKMGTPs+OOPt913392SkpJs6tSp5eZrWrjH2LFjo1ZmAAAAAA1fVAOlwsJC69u3r02YMCHs/FWrVpV7PP300y5QOuWUUyJeVgAAAACJo3E0P3zo0KHuUZm2bduWe/2Pf/zDBg8ebJ07d45A6QAAAAAkqqgGSjWxZs0ae+ONN+y5556rcrni4mL38OTn57vn7du3u0c0eZ8f7XIkEuo88qjzyKK+I486jzzqPLKo78ijziOnJnWcFAgEAhYD1KVuypQpNmzYsLDzH3jgAbvvvvvsxx9/tCZNmlT6PqNHj7YxY8ZUmP7iiy9a06ZN67TMAAAAAOLHli1b7Oyzz7ZNmzZZVlZWwwiUevToYUcddZQ99thjNW5Rateunf388887rYxIRLDTpk1z3yMlJSWqZUkU1HnkUeeRRX1HHnUeedR5ZFHfkUedR45ig1atWlUrUIqLrncffvihLVq0yCZPnrzTZdPS0tzDTxtdrGx4sVSWREGdRx51HlnUd+RR55FHnUcW9R151Hn9q0n9xsV9lJ566ikbMGCAy5AHAAAAAPUtqi1KBQUFtmTJkrLXy5Yts7lz51qLFi2sffv2Zc1jr7zyiv3xj3+MYkkBAAAAJJKoBkqzZs1y6b491157rXsePny4Pfvss+7/kyZNMg2jOuuss6JWTgAAAACJJaqB0mGHHeaCoKr87ne/cw8AAAAAiJS4GKMEAAAAAJFEoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAOBDoAQAAAAAPgRKAAAAAODT2D8BgE+g1GzTfLNtG8xSc8ya9zZL4hoDAABAQ0agBFTlp5lmi8eb5S80Kyk2a5RmltXTrPtIs9aDol06AAAA1BMuiwNVBUlzRpmtn22Wkm2W0TH4vGFOcLrmAwAAoEEiUAIq626nlqTi9WaZXc0aZ5olNQo+Z3QJdsNbPCG4HAAAABocAiUgHI1JUne79FyzpKTy8/Q6ra1Z/oLgcgAAAGhwCJSAcNRi5MYkpYef3zg9OF/LAQAAoMEhUALCUXY7JW4oKQo/f0dRcL6WAwAAQINDoASEoxTgym63dbVZIFB+nl4XrzbL6hVcDgAAAA0OgRIQju6TpBTgajEqzDPbXmAWKAk+67Wmdx/B/ZQAAAAaKM7ygMroPkn9xpnl9DPbsdGscHnwOad/cDr3UQIAAGiwuOEsUBUFQ60GBrPbKXGDWpLU3Y6WJAAAgAaNQAnYGQVF2X2iXQoAAABEEJfFAQAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAkAAAAAfAiUAAAAAMCHQAnYidJSs3nzzGbMCD7rNcJT3SxYEPy/nqkrAAAQr6IaKM2YMcOOP/5423333S0pKcmmTp1aYZmFCxfaCSecYM2bN7eMjAzbb7/9bOXKlVEpLxLPzJlm555rdv75ZpddFnzWa01H+Lq69NLgaz1TVwAAIF5FNVAqLCy0vn372oQJE8LOz8vLs1//+tfWo0cPmz59un399dd22223WZMmTSJeViQeneCPGmU2e7ZZdrZZx47B5zlzgtMJAMLXVfPmwWl6pq4AAEC8ahzNDx86dKh7VObWW2+1Y4891h544IGyaV26dIlQ6ZDI1GVs/Hiz9evNunY1S0oKTs/M1DaoIN5M8f3AgWbJCd6BNbSuunUttc6tgn3veuQusNSUPrYkL5m6AgAAcSeqgVJVSktL7Y033rAbbrjBjj76aJszZ4516tTJbr75Zhs2bFilf1dcXOwenvz8fPe8fft294gm7/OjXY5EUts61/iapUvNOnQwS02tOL99+2CwpDFLvXpZQvPq6ugBn9lJfZ6w3bKW22K7zi7b/wpbk9/RpjT/nX2WdwB1VU/Yr0QedR551HlkUd+RR51HTk3qOCkQCAQsBmiM0pQpU8qCoNWrV1tubq41bdrU7rrrLhs8eLC9+eabdsstt9j7779vhx56aNj3GT16tI0ZM6bC9BdffNG9FwAAAIDEtGXLFjv77LNt06ZNlpWVFZ+B0o8//mh77LGHnXXWWS7I8Sixg5I6vPTSS9VuUWrXrp39/PPPO62MSESw06ZNs6OOOspSUlKiWpZEUds6VyuJkhFonE1GRsX5hYVmmzaZTZxIK8mC+aX2w2uXWI+2X9naos5WmpRqP3U521rnvWjJgW3WJn2ZLVzd1/Y8+Qnr1Zu+d3WN/UrkUeeRR51HFvUdedR55Cg2aNWqVbUCpTrperdx40bL1ij3OqQv0LhxY+vlOwvt2bOnffTRR5X+XVpamnv4aaOLlQ0vlsqSKGpa5336mHXuHExGoDFJ3hgl0aUFJV7s3z+4XKKPu+nTfp41z51nq9e3sOTUHWbJwcpKDmy35NId9tOGHOud+7W1b7/YklP6RLu4DRb7lcijziOPOo8s6jvyqPP6V5P6rfEp3v3332+TJ08ue3366adby5YtXevPV199ZXUlNTXVpQJftGhRuemLFy+2Dho4AtQjBT8jR5rl5ATHIhUUmJWUBJ/1WtNHjCBIkuQdG6xNq2IrSUp3LW07dgSn61mvNV3ztRwAAEC8qPFp3uOPP+66somaCPX4z3/+47LXXX/99TV6r4KCAps7d657yLJly9z/vfsk6f0UlD355JO2ZMkSGz9+vP3rX/+y3//+9zUtNlBjgwaZjRtn1q+fWk3Nli8PPqslSdM1H7qqkWNNM9Os915Frqvijv+NkdSzXvfaq8jN13IAAADxosZd75RkwQuUXn/9ddeiNGTIEOvYsaMdcMABNXqvWbNmuSQNnmuvvdY9Dx8+3J599lk76aSTXGB277332pVXXml77bWXvfrqq+7eSkAkKBhSWuv58802bAi2JPXuTUtSOc17m2X1tOySOdbvV11sw2azDwNm++xjltMsYEmFq82y+geXAwAAaKiBUk5Ojn333XcuWFIWOmWkE+WEKFHfpBo47LDD3N9V5cILL3QPIFoUFGksEiqRlGzWfaTZnFGWVJhnzZq0Nysya9ak0JIKVwZbkrqPCC4HAADQUAOlk08+2aXU69atm61bt67shrG6z1FX3ZkTQOJpPcis3zizxePNNi0NTtuxySynfzBI0nwAAICGHCg99NBDrpudWpUeeOABy8zMdNNXrVrF2CEgkSkYajXQbN08s4+Xm+0/0axlH1qSAABAYgRKSqk3atSoCtOvueaauioTgHiloKi5UvovDz4TJAEAgDhVq/soffvtt/b+++/b2rVrrbS0tNy8P/zhD3VVNgAAAACIj0BJqbovv/xyd0PYtm3bWlLInTj1fwIlAAAAAAkXKCnL3d1332033nhj/ZQIAAAAAKKsxgMINmzYYKeddlr9lAYAAAAA4jFQUpD09ttv109pAAAAACBeut49+uijZf/XvZJuu+02+/TTT61Pnz4uC16oK6+8su5LCQAAAACxFijp3kmhdO+kDz74wD1CKZkDgRIAAACAhAiUli1bVv8lAQAAAIB4HaN0xx132JYtWypMLyoqcvMAAAAAIOECpTFjxlhBQUGF6QqeNA8AAAAAEi5QCgQC5W4y6/nqq6+sRYsWdVUuAAAAAIj9G87m5OS4AEmP7t27lwuWSkpKXCvTZZddVl/lBAAAAIDYC5Qefvhh15p04YUXui52zZs3L5uXmppqHTt2tAMPPLC+ygkAAAAAsRcoDR8+3D136tTJBg0aVOH+SQAAAACQcIGS59BDD7XS0lJbvHixrV271v0/1CGHHFKX5QMAAACA2A+UPv30Uzv77LNtxYoVriteKI1b0nglAAAAAEioQEkJG/bdd1974403LDc3N2wGPAAAAABIqEDp22+/tb///e/WtWvX+ikRAAAAAMTbfZQOOOAAW7JkSf2UBgAAAADisUXpiiuusOuuu85Wr15tffr0qZD9bp999qnL8gEAAABA7AdKp5xyinvW/ZQ8GqekxA4kcwAAAACQkIHSsmXL6qckAAAAABCvgVKHDh3qpyQAAAAAEK+BkuTl5dnDDz9sCxcudK979eplV111lXXp0qWuywcAAAAAsZ/17q233nKB0eeff+4SN+jx2WefWe/evW3atGn1U0oAAAAAiOUWpZtuusmuueYau++++ypMv/HGG+2oo46qy/IBAAAAQOy3KKm73UUXXVRhurLgLViwoK7KBQAAAADxEyi1bt3a5s6dW2G6prVp06auygUAAAAA8dP17pJLLrHf/e53tnTpUhs0aJCb9vHHH9v9999v1157bX2UEQAAAABiO1C67bbbrFmzZvbHP/7Rbr75Zjdt9913t9GjR9uVV15ZH2UEAAAAgNgOlJKSklwyBz02b97spilwAgAAAICEvo+ShwAJAAAAQEIHSocffni1lnvvvfd2pTwAAAAAED+B0vTp061Dhw523HHHWUpKSv2WCgAAAADiIVBSVrtnnnnGXnnlFTvnnHPcfZP23nvv+i0dAAAAAMTyfZSuv/56d0PZqVOnuiQOBx10kO2///72+OOPW35+fv2WEgAAAABi+YazBx54oD355JO2atUqGzFihD399NMuPTjBEgAAAICEDZQ8s2fPtg8++MAWLlzouuAxbgkAAABAQgZKP/74o91zzz3WvXt3O/XUU61Fixb22Wef2aeffmrp6en1V0oAAAAAiMVkDscee6y9//77NmTIEBs7dqzLfte48S7dhgkAAAAAYlK1I50333zTcnNzbeXKlTZmzBj3qKxLHgAAAAAkRKB0++23129JAAAAACBGECgBAAAAQF1lvQMAAACAhopACQAAAAB8CJQAAAAAwIdACQAAAAB2NVD6/vvvK52nG88CAAAAQMIFSrrh7Pr16ytM//jjj+2YY46pq3IBAAAAQPwESgMHDnTB0ubNm8umzZgxw4499lhSiAMAAKDuBUrNNs4zWzsj+KzXQKzcR8nzl7/8xU499VQ7/vjj7a233rKZM2faCSecYHfddZddddVV9VNKAAAAJKafZpotHm+Wv9CspNisUZpZVk+z7iPNWg+KdunQgNW4RSk5OdkmTZpkKSkpdvjhh7sg6d577yVIAgAAQN0HSXNGma2fbZaSbZbRMfi8YU5wuuYD0WxR+vrrrytMGz16tJ111ll27rnn2iGHHFK2zD777FP3pQQAAEBiUfc6tSQVrzfL7GqWlBSc3jjTLKOLWWGe2eIJZq0GmiWRyBlRCpR+9atfWVJSkgUCgbJp3uuJEyfaE0884f6vaSUlJfVQTAAAACSUTfOD3e3Sc38Jkjx6ndbWLH9BcLnsPtEqJRI9UFq2bFn9lwQAAADwbNsQHJPUJD38/MbpZsVrgssB0QqUOnTo4J63b99ul156qd12223WqVOn+igPAAAAYJaaE0zcUFJkgcaZpoTL27ebpaSYNWtmlrSjKDhfywH1oEYdOpXA4dVXX62zD1dacWXP23333V23valTp5abf8EFF7jpoQ/u1QQAAJAAmvd22e22rF9tc+YEbM4cjZs396zXWzasNsvqFVwOqAc1Hvk2bNiwCgFNbRUWFlrfvn1twoQJlS6jwGjVqlVlj5deeqlOPhsAAAAxLCnZ5hWPtLzvcqx5cp5lpRdYRtMS99y8UZ6bPq94BIkcEDv3UerWrZvdcccd9vHHH9uAAQMsIyOj3Pwrr7yy2u81dOhQ96hKWlqatW3btqbFBAAAQBwrLTW79y+DLLB2nF16+Hhrl7XQUhqtse0lafZdfn+b+P4IS549yP56mG5fE+3SoiGqcaD01FNPWXZ2tn355ZfuEUpd42oSKFXH9OnTrU2bNpaTk+Pu26Qb27Zs2bLS5YuLi93Dk5+fXza+So9o8j4/2uVIJNR55FHnkUV9Rx51HnnUeWLW94IFZkuXmjVvvp89NusZ2zPrG8tM3WgF27Lt+/weVpCcbJvyttu8eWa9ellci5U6TwTba1DHSYHQnN9RpCBrypQprmufRze2bdq0qUsckZeXZ7fccotlZmbaJ598Yo0aNQr7Prq/05gxYypMf/HFF917AQAAAEhMW7ZssbPPPts2bdpkWVlZ9RcoeX+qIKc+AiW/pUuXWpcuXeydd96xI444ototSu3atbOff/55p5URiQh22rRpdtRRR7nEGKh/1HnkUeeRRX1HHnUeedR5Yta3WpQuvVQtSma+kR5OYaHZpk1mEyc2jBalWKjzRJCfn2+tWrWqVqBU46538vzzz9vYsWPt22+/da+7d+9u119/vZ133nlWnzp37uy+2JIlSyoNlDSmSQ8/bXSxsuHFUlkSBXUeedR5ZFHfkUedRx51nlj13aePzv2CWe66dCl/z1ldq1+50qx//+ByDWWMUrTrPBGk1KB+a7xZPfjgg3b55Zfbscceay+//LJ7KDPdZZddZg899JDVp++//97WrVtnubm59fo5AAAAiC4FPyNHmuXkmOXlmRUUmJWUBJ/1WtNHjGg4QRJiT41blB577DH785//bOeff37ZtBNOOMF69+7txgddc8011X6vgoIC1zrkWbZsmc2dO9datGjhHhprdMopp7isdxqjdMMNN1jXrl3t6KOPrmmxAQAAEGcGDTIbN85s/HizhQvN1qxR76FgS5KCJM0HYiZQ0r2MBoXZKjVN82pi1qxZNnjw4LLX1157rXsePny4C8a+/vpre+6552zjxo3uprRDhgyxO++8M2zXOgAAADQ8Ou0cONBs/nyzDRuCLUm9e9OShBgMlNSio+52ykAXavLkye4eSzVx2GGHlSWECOett96qafEAAADQwCgo0lgkIKYDJXWHO+OMM2zGjBl20EEHuWm6+ey7777rAigAAAAAiHc1brTUmKHPPvvMZZ+bOnWqe+j/n3/+uZ100kn1U0oAAAAAiMUWpdtvv92l5B44cKANGDDAXnjhhfotGQAAAADEeouS7p2kMUXZ2dkuYLr77rtt5syZtmPHjvotIQAAAADEaqCk1N1Lly61CRMm2J577mlPPvmk/frXv7acnBx3H6X777/fdb8DAAAAgIQao9SxY0f77W9/61J2L1++3N3b6JFHHrE2bdrYPffcEzZtOAAAAADEm1pnoF+xYoXLfPfBBx+45+3bt9shhxxSt6UDAAAAgFhO5rBy5UqbPn26vf/+++75559/di1Ihx56qF1yySW2//77W2pqav2WFgAAAABiKVBSt7v27dvb5Zdf7h7KfNeoUaP6LR0AAAAAxHLXu9NPP92Ki4td0oa77rrLHn74YZs9e7YFAoH6LSEAAAAAxGqL0qRJk9zzN998U9b9buzYsbZ161aX/U5d8JQ+fL/99qvP8gIAAABA7CVz6NGjh+t6N3nyZFu9erW7l9KvfvUr18p04IEH1k8pAQAAACCCqt2iFGrNmjWuRclL7rB48WJLS0uzgw8+uO5LCAAAAACxGii9/PLLZcHRokWLLCUlxXWz09ilwYMHuwx4CpYAAAAAIGECpXPPPdf23XdfO+mkk1xgdNBBB1l6enr9lg4AAAAAYjlQ2rBhg2VkZNRvaQAAAAAgnpI5ECQBAAAASBQ1znoHAAAAAA0dgRIAAAAA+BAoAQAAAEBdBUpLliyxt956y4qKitzrQCBQ27cCAAAAgPgOlNatW2dHHnmkde/e3Y499lhbtWqVm37RRRfZddddVx9lBAAAAIDYDpSuueYaa9y4sa1cudKaNm1aNv2MM86wN998s67LBwAAAACxex8lz9tvv+263O25557lpnfr1s1WrFhRl2UDAAAAgPhoUSosLCzXkuRZv369paWl1VW5AAAAACB+AqWDDz7Ynn/++bLXSUlJVlpaag888IANHjy4rssHAAAAALHf9U4B0RFHHGGzZs2ybdu22Q033GDz5893LUoff/xx/ZQSAAAAAGK5RWnvvfe2xYsX269//Ws78cQTXVe8k08+2ebMmWNdunSpn1ICAAAAQCy3KEnz5s3t1ltvrfvSAAAAAEA8tih17drVRo8ebd9++239lAgAAAAA4i1QGjFihL3xxhu211572X777WePPPKIrV69un5KBwAAAADxcsPZL774wr755hs79thjbcKECdauXTsbMmRIuWx4AAAAAJAwgZKne/fuNmbMGJfY4cMPP7SffvrJfvvb39Zt6QAAAOpCoNRs4zyztTOCz3oNAHWdzMHz+eef24svvmiTJ0+2/Px8O+2003bl7QAAAOreTzPNFo83y19oVlJs1ijNLKunWfeRZq0HRbt0ABpKi5JakG6//XbXonTQQQfZwoUL7f7777c1a9bYpEmT6qeUAAAAtQ2S5owyWz/bLCXbLKNj8HnDnOB0zQeAumhR6tGjh0vioKQOZ555pu222241fQsAAID6p+51akkqXm+W2dUsKSk4vXGmWUYXs8I8s8UTzFoNNEuq9WgEAA1UjQOlRYsWWbdu3eqnNAAAAHVl0/xgd7v03F+CJI9ep7U1y18QXC67T7RKCSBG1fjyCUESAACIC9s2/G9MUnr4+Y3Tg/O1HADUpkWpRYsWbmxSq1atLCcnx5L8V2VCrF+/vjpvCQAAUL9Sc4KJG0qKgt3t/HYUBedrOQCoTaD00EMPWbNmzcr+X1WgBAAAEBOa9w5mt1PiBo1JCj1/CQTMileb5fQPLgcAtQmUhg8fXvb/Cy64oDp/AgAAEF1K0KAU4Mpup8QNGpOk7nZqSVKQpJak7iNI5AAgrBrvGRo1amRr166tMH3dunVuHgAAQMzQfZL6jTPL6We2Y6NZ4fLgs1qSNJ37KAGoq6x3ATVVh1FcXGypqak1fTsAAID6pWBIKcCV3U6JG9SSpO52tCQBqItA6dFHH3XPGp/0l7/8xTIzfxkUWVJSYjNmzHD3WAIAAIg5CopIAQ6gPgIlJXHwWpQef/zxct3s1JLUsWNHNx0AAAAAEiZQWrZsmXsePHiwvfbaay5NOAAAAAA0RDUeo/T+++/XT0kAAAAAIEbUeBTjKaecYvfff3+F6Q888ICddtppdVUuAAAAADURKDXbOM9s7Yzgs15HWyAGy1RfLUpK2jB69OgK04cOHWp//OMf66pcAAAAAKrrp5lmi8eb5S80Kyk2a5QWvOGy7iUWrTT4P8VgmeqzRamgoCBsGvCUlBTLz8+vq3IBAAAAqG5Aohsrr59tlpJtltEx+LxhTnC65lOm+g+U+vTpY5MnT64wfdKkSdarV6+alwAAAABA7agrm1ptitebZXY1a5xpltQo+JzRJXjvsMUTItvlLRCDZYpE17vbbrvNTj75ZMvLy7PDDz/cTXv33XftpZdesldeeaU+yggAACqjEw1upAokLv3+1bUtPVc3PC0/T6/T2prlLwguF6l7iW2KwTJFIlA6/vjjberUqXbPPffY3//+d0tPT7d99tnH3nnnHTv00EPrp5QAAKDB9f8HUAd0kUS//ybp4ec3TjcrXhNcLpHLFIlASY477jj38Pvvf/9re++9d23eEgAA1Kb/v7q26KqtTkhKin7p/99vHMESkAjUkqyLJPr9q2ub346i4Hwtl8hlqoVdbpvfvHmzPfHEE7b//vtb3759d/XtAABAgvT/B1AH1N1WLclbV5sFAuXn6XXxarOsXsHlErlMkQyUlCb8/PPPt9zcXBs3bpwbr/Tpp5/W9u0AAEB99P8H0LBpTKK626p1pjDPbHuBWaAk+KzXmt59RGTHLibFYJnqu+vd6tWr7dlnn7WnnnrKpQI//fTTrbi42I1ZIuMdAAAR0kD6/wOoI+pmq+623phF/f7VtS2nfzAgiUY33NYxWKb6CpSUxEGtSBqb9PDDD9sxxxxjjRo1sscff7x+SwgAABpk/38AdUiBR6uBsZUFs3UMlqk+AqX//Oc/duWVV9rll19u3bp1q99SAdip0lKz+fPNNmwwy8kx693bLDk+9jsA6qr//4Y5FsjoYpsLkmz7dt383axZZsCS1P9fV21jvP9/ou8zY7FMiG+lgWSb/12fX7apLLNkX+9cylQPgdJHH33kutwNGDDAevbsaeedd56deeaZtivUQjV27Fj78ssvbdWqVTZlyhQbNmxY2GUvu+wymzhxoj300EN29dVX79LnAvFu5kyz8ePNFqolu9gsLc2sZ0+zkSPNBsV+SzaAOur/n//BKNv8Q579sL6tFW1Lt/TUItujxWpr1jLHsuKg/38i7zNjsUyIb7G4Tc2MwTLVRLX3oAMHDrQnn3zSBTSXXnqpTZo0yXbffXcrLS21adOmuex3NVVYWOgy5U2YMKHK5RRAKVGEPg9IdNrpjBplNnu2WXa2WceOwec5c4LTNR9Awzfz20E26sVxNnt5P8vJ2Gid2ix3z7OX93fTNR+xuc+MxTIhvsXiNjUzBstU7/dRysjIsAsvvNA9Fi1a5FqZ7rvvPrvpppvsqKOOsn/+85/Vfq+hQ4e6R1V++OEHu+KKK+ytt94Ke+8mIJGom4auzKxfb9a16y/JrjIzzbp0McvLM9N1h4ED6b4BJMK+YPaCQbZq20Dr8N18y0zdYAXbcmzFxt62JC/ZCtkXxOQ+MxbLhPgWi9tUaQyWKWI3nPXstdde9sADD9i9995r//rXv+zpp5+u40oudV38rr/+euutjrvVoCx8eniUnU+2b9/uHtHkfX60y5FIGlqdL1hgtnSpWYcOZqmpFee3bx/c+cybZxatRJQNrc5jHfWdmHUeui9ISTX7cUsPsy3BeSmpJda+fUnU9wWxUOexuM+MxTLF4jaeaHalzmNxm1oQg2Xy1KSOkwIB/12goiMpKanCGCUFYO+//75rTdL8jh07uvFJVY1RGj16tI0ZM6bC9BdffNGaNm1ab+UHAAAAENu2bNliZ599tm3atMmysrLqr0WpPinBwyOPPGKzZ892QVJ13XzzzXbttdeWa1Fq166dDRkyZKeVEYkIVuO51EUxRamJUO8aWp3rCs2ll5o1b65usBXnFxaabdpkNnFidK9ENqQ6j3XUd2LWeTzsC2KhzmOxnmKxTLG4jSeaXanzWNymFsRgmfy9zaojZgOlDz/80NauXWvt1Tb3PyUlJXbddde5+zgtX7487N+lpaW5h582ulj5scdSWRJFQ6nzPn3MOncODoRUH9/QawhqG1650qx//+By0e7z21DqPF5Q34lV5/G0L4hmncdiPcVimSrDfiU+6jwWt6k+MVgmT03qN2Z3nxqb9PXXX9vcuXPLHsp6p/FK6ooHJCLtTJRSU/chUN/eggJdQAg+67WmjxgR/YMrgPrFviB+6ykWy4T4FovbVHIMlqk2olq8goKCsiBIli1b5v6/cuVKa9mype29997lHooA27Zt65JIAIlK9x0YN86sXz+zjRvN1LiqZ12Z0fR4uC8BgF3HviB+6ykWy4T4Fovb1KAYLFNNRbXr3axZs2zw4MFlr72xRcOHD7dnn302iiUDYpt2LkqpyR3dgcTGviB+6ykWy4T4Fovb1KAYLFPcBEqHHXaY1STpXmXjkoBEpJ2M+vYCSGzsC+K3nmKxTIhvsbhNJcdgmaorTuI5AAAAAIgcAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAAiKX04AAAAAkrUGq2ab7Ztg1mqTlmzXubJXENG4gVBEpAvOIACwDx66eZZovHm+UvNCspNmuUZpbV06z7SLPWg6JdOgAESkCc4gALAPG9D58zyqx4vVl6rlmTdLOSIrMNc4LT+41jXw7EAC4/A/F6gF0/2ywl2yyjY/DZO8BqPgAgdnsD6EKXgqTMrmaNM82SGgWfM7oEewksnhBcDkBUESgB8YQDLADEN3WZVm8AtSQlJZWfp9dpbc3yFwSXAxBVBEpAPOEACwDxTRe0XJfp9PDzG6sbXnFwOQBRRaAExBMOsAAQ35R8R+NKNSYpnB1FwflaDkBUESgB8YQDLADEN2UoVfKdravNAoHy8/S6eLVZVq/gcgCiikAJiCccYAEgvuk2DspQqgtahXlm2wvMAiXBZ73W9O4juN0DEAP4FQLxhAMsAMQ/pf5WCvCcfmY7NpoVLg8+5/QnNTgQQ7iPEhCvB1jvPkrFa4Ld7XSAVZDEARYAYp/21a0GcuNwIIYRKAHxiAMsAMQ/7bOz+0S7FAAqQaAExCsOsAAAAPWGy88AAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4NPYPwEJJFBqtmm+2bYNZqk5Zs17myUROwMAAAAESonqp5lmi8eb5S80Kyk2a5RmltXTrPtIs9aDol06AAAAIKpoPkjUIGnOKLP1s81Sss0yOgafN8wJTtd8AAAAIIERKCVidzu1JBWvN8vsatY40yypUfA5o0uwG97iCcHlAAAAgARFoJRoNCZJ3e3Sc82SksrP0+u0tmb5C4LLAQAAAAmKQCnRqMXIjUlKDz+/cXpwvpYDAAAAEhSBUqJRdjslbigpCj9/R1FwvpYDAAAAEhSBUqJRCnBlt9u62iwQKD9Pr4tXm2X1Ci4HNAQab7dxntnaGcFnxt8BAIBqID14otF9kpQCXNntCvOCY5LU3U4tSQqS1JLUfQT3U0LDQBp8AABQS5wNJyKdIPYbZ5bTz2zHRrPC5cHnnP7B6ZxAoiEgDT4AANgFtCglKgVDrQYGs9spcYNaktTdjpYkNMQ0+F6GRy8NvlpTlQZfvwG2eQAAEAaBUiLTCWJ2n2iXAohuGnx+A7Ed8HIxBwAQJQRKABpuGvwmVaTBL15DGvxYxvgyAECUcWkOQMNDGvz4xvgyAEAMIFBKYKWlZvPmmc2YEXzW62iLxTIhvtPgBwIBy99stm69uWe9Jg1+fIwvC2R2tfyiTFu3oZF7Dmh8mVoBNb4sSmnetU9asCD4fz2zjwqPfXn8Ki0ptSWzgxu5nvUa4bGdN3xR7Xo3Y8YMGzt2rH355Ze2atUqmzJlig0bNqxs/ujRo23SpEn23XffWWpqqg0YMMDuvvtuO+CAA6JZ7AZh5kyz8ePNFi40Ky42S0sz69nTbORIs0FR6tUSi2VCfKfBz/9glG3+Ic9+WN/WiralW3pqke3RYrU1a5ljWaTBj+nxZRu35drSuUm2eXPw5CM52axZsyTr3L6tZUdpfJm3j1q61Ozmm80uvdSsc2f2UX7sy+PXvPdmWv6s8ZadutSs081W+sml9skHnS1r35HW53BWXii288QQ1bOEwsJC69u3r02YMCHs/O7du9v48eNt3rx59tFHH1nHjh1tyJAh9tNPP0W8rA3txz1qlNns2WbZ2WYdOwaf58wJTtd8yoR4N/PbQTbqxXE2e3k/y8nYaJ3aLHfPs5f3d9M1HzFo2wbbUlBs8xel26ZNZikpZk2bBp/1esGidDc/0uPLQvdRzZsHp+mZfVR57MvjO0hS19a2TWZbUUlwI9dz2ybBLq9uPhy288QR1RaloUOHukdlzj777HKvH3zwQXvqqafs66+/tiOOOCICJWx4dGVWV0DWrzfrGpI1OTPTrEsXs7w8M8WtAwcGr+AmapkQ37xtavaCQbZq20Dr8N18y0zdYAXbcmzFxt62JC/ZCtmmYlJp4xxb+3OaNQoUWUZGZtn0xo2Dj8C2Ije/feOciF3pC91Hdetaap1bBbsl9chdYKkpfdz2xD6KfXk8U/c6tSS1bbLe1hV3tdLkVDd9h2XYuuIu1jItz1Z/OcFKDx1oyY0Se+WxnSeWuMl6t23bNnviiSesefPmrhWqMsXFxe7hyc/Pd8/bt293j2jyPj+a5VCfenUb6dDBLDW4Hyynffvgj1x9bXv1iv8yxUKdJ5pYqPPQbSol1ezHLT3MtgTnpaSWWPv2JRHfzhtyfdelBSu72w+r+liPtl/b2qJs9aMMmRuwNjkbbP6qvrZpZXfr1Wx7RLenowd8Zif1ecJ2y1pui+06u2z/K2xNfkeb0vx39lneAQ1ie9oV7Mvjl8Yiqbvdhu0dXJBUmpTiprvnZLON29tbdkqeLZo1z7r2T+CN3Ledp6WW2p5Z31hm6kYr2JZt3+f3sPbtk2u1nbONR05N6jgp4EY2R19SUlKFMUry+uuv25lnnmlbtmyx3Nxcmzp1qu23336Vvo/GNY0ZM6bC9BdffNGaqv8GAAAAgIS0ZcsW12tt06ZNlpWVFd+BksYxKdHDzz//bE8++aS999579tlnn1mbNm2q3aLUrl079/c7q4xIRLDTpk2zo446ylLU4T5KV0I0AFl96zMyKs4vLAyOA5g4MbItSirTAV2CV2t3b7bYUhoV2/aSNPtxc3ebMi94tbY2ZYqFOk80sVDnsbidN+T6jtT+4IfNe9nUeZfUen9Q6zLNL7UfXrvEerT9ytYWdbbSpFT7qcvZ1jrvRUsObLM26cts4eq+tufJT1iv3onb16Y+f3cNbTuPNS673SeXujFJ6m6nlqRftvHtlmKF1qTRJks+cCItSgvMHrv9M7vqsP+zZk022Matba24pImlNdpq2U3W2Oat2fbI9LvsijEH1LhFiW08MhQbtGrVqlqBUsx3vcvIyLCuXbu6x8CBA61bt25unNLNSjkURlpamnv4aaOLlQ0vmmXp0yeYpUkDDtWX1utbKwqZV640698/uFyk+tbqs44eMNOGtb/BWmWttw1bc23TjhaW1rjIOjf/wi7YZ4nl5IyzPn0G1bpMsbT+EwXbeWQ1lG3cW3dvz/61Ld00yDpkVxxfFvF9VPt51jx3nq1e38KSU3eYJQc3KJ1AJpfusJ825Fjv3K+tffvFlpwS2Ux8sSQSv7uGsp3Hmr327eOy2ylxg8YkeQMAg9v4NstOW2mri/vbgfv2SfgxSn32LrXfDvqTNU1ebWs3d3Xdg5Os1LaVptra7Xu68Vy/PejP1mfvQbWqK7bx+leT+o27rb20tLRcixFqRgcnpa7MyQn2FS8oMCspCT7rtaaPGBHZk8fkpFIbOWS85WSstyVrulrB1kwrDTRyz3lrulhOxgYbcdQEtxwQr9s5ar7uFBTN/6GPfb36EPes11HZR+3YYG1aFVtJUrprFdmxIzhdz3qt6Zqv5RIZv7v4pRN6pQDfsj3HneirBUn0rNeanjVgRMIHSZK8eb717bTQNm7NtcLCJLcf0IWA4P4gybUw9e24wC2H+BfVLb6goMDmzp3rHrJs2TL3/5UrV7oud7fccot9+umntmLFCnevpQsvvNB++OEHO+2006JZ7Lin/P7jxpn162e2caPZ8uXBZ13p0/SI5//fNN9apy607Nxca948yTTGbssWNUOrC0eSZee2tdap/7tvChCv2znid92l5ljTzDTrvVeR61a243/jgPWs1732KnLztVyii7l1h2pz90nqN85Wb+3nutmJntWSpOncR+l/tm2wzPRi69Q13f3+y5+zmJuu+ZG+hQHqR1S73s2aNcsGDx5c9vraa691z8OHD7fHH3/cvvnmG3vuuefc+KKWLVu6JA4ffvih9e7dO4qlbhh0sFLqyvnzzTZsCF7pU7VG5UqfdiYlxZbdIt36tTR3g0ntcNQy2qyZBtKlmxWuYaeD+N7OEb/rrnlvs6yell0yx/r9qott2Gz2YcBsn33McpoFLKlwtVlW/+ByiK11hxpRMKQU4MpuZ6uXuzFJdLfz0QWRRmnWIqvIcvplVjxn2V5ktoMLJw1FVAOlww47zKrKJfHaa69FtDyJRgct9RWPlZ2OlRRZUuNMy2rmm7+jKDifnQ7ieTtH/K67pGSz7iPdTTeTCvOsWZP2ZkVmzZoUWlLhyuC+qfuI4HKIrXWHGlNQpIQNi/+93D0TJIW/cGIb5lhSRhfLauYbjFe82iyHCycNBVs/Ymens3V1cCcTytvpZPVipwMgeloHuyVZTj+zHcFuSe5ZJ0Sarvn4RaDUbOM8s7Uzgs96DTQE3oUTXSApzDPbXmAWKAk+6zUXThqUmM96hwQQcrXW7WTS2po1Tg+2JClIYqcDIBYoGGo10GzdPLOPl5vtP9GsZR/2TX4/zTRbPN4sf6HrVu16BOhimPbzBJRoSBdOvO28eE1wO9eFE52vsJ03GARKiA3sdADEAwVFzXVzlOXBZ4KkikGSLnoVrzdLzzVrku66VaubkptO6xsa2oUTJZrSGGpd1FXPF/YJDQqBEmIHOx0AiF/qXqeLXQqSMrv+ciOlxplmGV2CPQYWTwju59mvoyHQdpzNYLyGjEAJsYWdDgDEJ13kUo8AtSSF3m1W9FrdqvP/d6sH9vMA4gCXdAAAQJ3d6sEapYefr7Gnms+tHgDECQIlAABQp7d6CItbPQCIMwRKAABg13GrBwANDIESAADYddxfBkADw94KAADUw415N5oVLg8+c2NeAHGIrHcAAKDucKsHAA0EgRIAAKhb3OoBQAPA5R0AAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8CFQAgAAAAAfAiUAAAAA8GnsnwAASECBUrNN8822bTBLzTFr3tssiWtpAIDERaAEAInup5lmi8eb5S80Kyk2a5RmltXTrPtIs9aDol06AACigsuFAJDoQdKcUWbrZ5ulZJtldAw+b5gTnK75AAAkIAIlAEjk7nZqSSpeb5bZ1axxpllSo+BzRpdgN7zFE4LLAQCQYAiUACBRaUySutul55olJZWfp9dpbc3yFwSXAwAgwRAoAUCiUouRG5OUHn5+4/TgfC0HAECCIVACgESl7HZK3FBSFH7+jqLgfC0HAECCIVACgESlFODKbrd1tVkgUH6eXhevNsvqFVwOAIAEQ6AEAIlK90lSCnC1GBXmmW0vMAuUBJ/1WtO7j+B+SgCAhMTRDwASme6T1G+cWU4/sx0bzQqXB59z+gencx8lAECC4oazAJDoFAy1GhjMbqfEDWpJUnc7WpIAAAmMQAkAEAyKsvtEuxQAAMQMLhcCAAAAgA+BEgAAAAD4ECgBAAAAgA9jlAAAVlpqNn++2YYNZjk5Zr17myVzKQ0AkMCiehicMWOGHX/88bb77rtbUlKSTZ06tWze9u3b7cYbb7Q+ffpYRkaGW+b888+3H3/8MZpFBoAGZ+ZMs3PPNTv/fLPLLgs+67WmAwCQqKIaKBUWFlrfvn1twoQJFeZt2bLFZs+ebbfddpt7fu2112zRokV2wgknRKWsANAQKRgaNcps9myz7Gyzjh2Dz3PmBKcTLAEAElVUu94NHTrUPcJp3ry5TZs2rdy08ePH2/77728rV6609u3bR6iUANBwu9uNH2+2fr1Z165mSUnB6ZmZZl26mOXlmek61sCBdMMDACSeuBqjtGnTJtdFL1uXOytRXFzsHp78/Pyyrnx6RJP3+dEuRyKhziOPOo+f+l6wwGzpUrMOHcxSUyvO1/UoBUvz5pn16lUXpW0Y2MYjjzqPLOo78qjzyKlJHScFAoGAxQAFQFOmTLFhw4aFnb9161Y76KCDrEePHva3v/2t0vcZPXq0jRkzpsL0F1980Zo2bVqnZQYAAAAQPzS85+yzz3YNMFlZWfEfKCnyO+WUU+z777+36dOnV/mlwrUotWvXzn7++eedVkZ90/dQd8KjjjrKUlJSolqWREGdRx51Hj/1rRalSy9VV2ezjIyK8wsL1ZJvNnEiLUqh2MYjjzqPLOo78qjzyFFs0KpVq2oFSo3jYcM5/fTTbcWKFfbee+/t9AulpaW5h582uljZ8GKpLImCOo886jz267tPH7POnYOJGzQmyRujJLqEtnKlWf/+weUYo1QR23jkUeeRRX1HHnVe/2pSv8nxECR9++239s4771jLli2jXSQAaDAU/IwcGbxvksYiFRSYlZQEn/Va00eMIEgCACSmqLYoFRQU2JIlS8peL1u2zObOnWstWrSw3NxcO/XUU11q8Ndff91KSkps9erVbjnNTw038hgAUCODBpmNGxfMfrdwodmaNWqZD7YkKUjSfAAAElFUA6VZs2bZ4MGDy15fe+217nn48OEuKcM///lP9/pXv/pVub97//337bDDDotwaQGgYVIwpBTg8+ebbdgQbEnq3ZuWJABAYotqoKRgp6pcEjGSZwIAGjwFRRqLBAAAgrheCAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+BEoAAAAA4EOgBAAAAAA+ja2BCwQC7jk/Pz/aRbHt27fbli1bXFlSUlKiXZyEQJ1HHnUeWdR35FHnkUedRxb1HXnUeeR4MYEXIyR0oLR582b33K5du2gXBQAAAECMxAjNmzevcpmkQHXCqThWWlpqP/74ozVr1sySkpKiHsEqYPvuu+8sKysrqmVJFNR55FHnkUV9Rx51HnnUeWRR35FHnUeOQh8FSbvvvrslJycndouSKmDPPfe0WKIfAD+CyKLOI486jyzqO/Ko88ijziOL+o486jwydtaS5CGZAwAAAAD4ECgBAAAAgA+BUgSlpaXZ7bff7p4RGdR55FHnkUV9Rx51HnnUeWRR35FHncemBp/MAQAAAABqihYlAAAAAPAhUAIAAAAAHwIlAAAAAPAhUAIAAAAAHwKlOjZhwgTr2LGjNWnSxA444AD7/PPPq1z+lVdesR49erjl+/TpY//+978jVtZ4d++999p+++1nzZo1szZt2tiwYcNs0aJFVf7Ns88+a0lJSeUeqntUz+jRoyvUn7bfqrCN7xrtT/x1rseIESPCLs82XjMzZsyw448/3t2hXXU1derUcvOV7+gPf/iD5ebmWnp6uh155JH27bff1vmxIJFUVefbt2+3G2+80e0rMjIy3DLnn3++/fjjj3W+b0okO9vOL7jgggr1d8wxx+z0fdnOa1ff4fbpeowdO7bS92Qbjw4CpTo0efJku/baa116x9mzZ1vfvn3t6KOPtrVr14ZdfubMmXbWWWfZRRddZHPmzHEn+nr897//jXjZ49EHH3zgThY//fRTmzZtmjvADhkyxAoLC6v8O93xetWqVWWPFStWRKzMDUHv3r3L1d9HH31U6bJs47vuiy++KFff2tbltNNOq/Rv2MarT/sL7at1whfOAw88YI8++qg9/vjj9tlnn7mTd+3Xt27dWmfHgkRTVZ1v2bLF1dltt93mnl977TV3AeyEE06o031TotnZdi4KjELr76WXXqryPdnOa1/fofWsx9NPP+0Cn1NOOaXK92UbjwKlB0fd2H///QMjRowoe11SUhLYfffdA/fee2/Y5U8//fTAcccdV27aAQccELj00kvrvawN0dq1a5XqPvDBBx9UuswzzzwTaN68eUTL1ZDcfvvtgb59+1Z7ebbxunfVVVcFunTpEigtLQ07n2289rT/mDJlStlr1XHbtm0DY8eOLZu2cePGQFpaWuCll16qs2NBIvPXeTiff/65W27FihV1tm9KZOHqfPjw4YETTzyxRu/Ddl5327jq/vDDD69yGbbx6KBFqY5s27bNvvzyS9ctw5OcnOxef/LJJ2H/RtNDlxddjalseVRt06ZN7rlFixZVLldQUGAdOnSwdu3a2Yknnmjz58+PUAkbBnU7UneCzp072znnnGMrV66sdFm28brfz7zwwgt24YUXuquPlWEbrxvLli2z1atXl9uGmzdv7roYVbYN1+ZYgJ3v27W9Z2dn19m+CRVNnz7ddWPfa6+97PLLL7d169ZVuizbed1Zs2aNvfHGG67nxc6wjUcegVId+fnnn62kpMR22223ctP1WgfacDS9JsujcqWlpXb11VfbQQcdZHvvvXely+kAoCbuf/zjH+6EU383aNAg+/777yNa3nilE0SNgXnzzTftz3/+szuRPPjgg23z5s1hl2cbr1vq575x40Y3nqAybON1x9tOa7IN1+ZYgMqpi6PGLKkLr7qU1tW+CRW73T3//PP27rvv2v333++6tg8dOtRty+Gwnded5557zo21Pvnkk6tcjm08OhpH6XOBOqWxShr3srP+ugceeKB7eHQC2bNnT5s4caLdeeedEShpfNOB07PPPvu4HbdaLl5++eVqXQ3DrnnqqafcOtAVxcqwjaOh0LjT008/3SXU0IlhVdg37Zozzzyz7P9KpKE67NKli2tlOuKII6JatoZOF7bUOrSzpDts49FBi1IdadWqlTVq1Mg1oYbS67Zt24b9G02vyfIIb+TIkfb666/b+++/b3vuuWeN/jYlJcX69etnS5YsqbfyNWTqCtO9e/dK649tvO4oIcM777xjF198cY3+jm289rzttCbbcG2OBag8SNJ2rwQmVbUm1WbfhKqpa5e25crqj+28bnz44YcuWUlN9+vCNh4ZBEp1JDU11QYMGOCarT3q8qLXoVd3Q2l66PKiA0Jly6M8XWVUkDRlyhR77733rFOnTjV+D3UdmDdvnkv9i5rTWJi8vLxK649tvO4888wzbvzAcccdV6O/YxuvPe1TdNIXug3n5+e77HeVbcO1ORYgfJCk8Ri6ONCyZcs63zehauqqqzFKldUf23nd9RJQPSpDXk2xjUdIlJJINEiTJk1y2ZCeffbZwIIFCwK/+93vAtnZ2YHVq1e7+eedd17gpptuKlv+448/DjRu3Dgwbty4wMKFC11Gk5SUlMC8efOi+C3ix+WXX+6ye02fPj2watWqsseWLVvKlvHX+ZgxYwJvvfVWIC8vL/Dll18GzjzzzECTJk0C8+fPj9K3iC/XXXedq+9ly5a57ffII48MtGrVymUcFLbx+qFsUu3btw/ceOONFeaxje+azZs3B+bMmeMeOiQ++OCD7v9ehrX77rvP7cf/8Y9/BL7++muXnapTp06BoqKisvdQtqrHHnus2seCRFdVnW/bti1wwgknBPbcc8/A3Llzy+3bi4uLK63zne2bEl1Vda55o0aNCnzyySeu/t55551A//79A926dQts3bq17D3YzutuvyKbNm0KNG3aNPDnP/857HuwjccGAqU6po1aJzSpqakudeann35aNu/QQw91KThDvfzyy4Hu3bu75Xv37h144403olDq+KSdT7iH0iNXVudXX3112frZbbfdAscee2xg9uzZUfoG8eeMM84I5ObmuvrbY4893OslS5aUzWcbrx8KfLRtL1q0qMI8tvFd8/7774fdj3h1qhTht912m6tLnRQeccQRFdZDhw4d3EWA6h4LEl1Vda6TwMr27fq7yup8Z/umRFdVnevi4pAhQwKtW7d2F7JUt5dcckmFgIftvO72KzJx4sRAenq6u+VAOGzjsSFJ/0Sq9QoAAAAA4gFjlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAACSEpKcmmTp0a7WIAAOIEgRIAIOZdcMEFNmzYsGgXAwCQQAiUAAAAAMCHQAkAEFcOO+wwu/LKK+2GG26wFi1aWNu2bW306NHllvn222/tkEMOsSZNmlivXr1s2rRpFd7nu+++s9NPP92ys7Pd+5x44om2fPlyN++bb76xpk2b2osvvli2/Msvv2zp6em2YMGCCHxLAEC0ESgBAOLOc889ZxkZGfbZZ5/ZAw88YHfccUdZMFRaWmonn3yypaamuvmPP/643XjjjeX+fvv27Xb00Udbs2bN7MMPP7SPP/7YMjMz7ZhjjrFt27ZZjx49bNy4cfb73//eVq5cad9//71ddtlldv/997vACwDQ8CUFAoFAtAsBAMDOxiht3LjRJWNQi1JJSYkLcDz777+/HX744XbffffZ22+/bccdd5ytWLHCdt99dzf/zTfftKFDh9qUKVPcWKcXXnjB7rrrLlu4cKFL8iAKkNS6pM8YMmSIm/ab3/zG8vPzXdDVqFEj9z7e8gCAhq1xtAsAAEBN7bPPPuVe5+bm2tq1a93/Ffy0a9euLEiSAw88sNzyX331lS1ZssS1KIXaunWr5eXllb1++umnrXv37pacnGzz588nSAKABEKgBACIOykpKeVeK4BRl7vqKigosAEDBtjf/va3CvNat25dLqAqLCx0gdKqVatcQAYASAwESgCABqVnz54uUUNoYPPpp5+WW6Z///42efJka9OmjWVlZYV9n/Xr17suf7feeqt7r3POOcdmz57tEjoAABo+kjkAABqUI4880nWXGz58uGsR0lgmBTuhFPS0atXKZbrT/GXLltn06dNdNj0lbhAlb1AXvv/7v/+zBx980I2LGjVqVJS+FQAg0giUAAANirrJKWlDUVGRS/Jw8cUX2913311uGaX+njFjhrVv395lyFMr1EUXXeTGKKmF6fnnn7d///vf9te//tUaN27sMuwpAcSTTz5p//nPf6L23QAAkUPWOwAAAADwoUUJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAHwIlAAAAADAh0AJAAAAAKy8/we1bEg3NV4IhwAAAABJRU5ErkJggg==", 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", 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", 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" ] @@ -554,13 +739,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Final Training RMSE: 0.2891486734682186\n", - "Final Validation RMSE: 1.4757698154285221\n" + "Final Training RMSE: 0.28955484233140216\n", + "Final Validation RMSE: 1.5407851315191226\n" ] }, { "data": { - "image/png": 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cjouOjmbBggUcPHjQo+t7MwUlEREREZELGDFiBL1796Zq1arExsZSvnx5Ro8eTePGjalWrRoPPvggnTt35ssvv7zgebp27cqwYcOoUaMGjz32GGXKlGHRokUX/Mz48eNp3749devW5fHHH2fZsmUkJycD8PrrrzNkyBDuuusuatWqxTPPPEODBg3y9J3atm1LaGgoQUFBPPLII1SpUoXbbrstx3GNGzemevXqfPXVV5imyeTJk93CWqYJEyZw8OBBoqOjadiwIffddx8//vhjjuN++OEHQkND3RZPnuUqTHpGqTAd30jltDmQdiX4l7a7GhEREZECFRICJ0/ad+380rx5c7fXGRkZvPjii0yfPp29e/eSkpJCSkoKJUqUuOB5GjZsmLWd2cXvwIEDef5MTEwMAAcOHKBSpUps3bqVYcOGuR3fsmVLFixYcNHvNH36dGrXrs1ff/3FiBEjeOedd877XNXgwYOZNGkSlSpV4uTJk3Tt2pU33njD7Zi6deuyadMm1qxZw9KlS/nll1/o0aMHgwYN4oMPPsg6rkOHDrzzzjtun/X0ea7CoqBUiPx+vYXGqXGkH+kBITfYXY6IiIhIgTIMuEh28AnZA9Arr7zCq6++ysSJE2nQoAElSpRgxIgRpKamXvA82bu2GYaBy+XK82cMwwBw+0zmvkxmHh/OqlixIjVr1qRmzZqEhoZy880388cff1CuXLkcx/bt25dHH32UsWPHMmDAAPz8co8QDoeDFi1a0KJFC0aOHMmnn35K//79GTNmDJUrVwasn2WNGjXyVKPd1PWuEJmlWwNgHFpmcyUiIiIicqmWLFlCz5496devH40aNaJatWps27at0Ou44oorWLlypdu+1atXe3ye9u3bU79+fcaPH5/r+6VKleLGG29k8eLFuXa7O5+6desCcOrUKY9r8gYKSoXILNMWAOPwCpsrEREREZFLVaNGDebNm8eyZcvYsmULQ4cOJSEhodDrePDBB/nwww+ZMmUK27Zt47nnnmPDhg057jLlxSOPPMK7777L3r17c31/8uTJHDp0iNq1a+f6/i233MKrr77Kb7/9xs6dO1m0aBEPPPAAtWrVcvtMSkoKCQkJbsuhQ4c8rrcwKCgVIlfmHaXDv4Erw+ZqRERERORSPP300zRt2pTOnTvToUMHoqOj6dWrV6HX0bdvX5544glGjx5N06ZNiYuLY9CgQQQFBXl8ru7du1OlSpXz3lUKDg6mdOnzP2PfuXNnZs2aRY8ePahVqxYDBw6kdu3azJ07162r3pw5c4iJiXFbrrzySo/rLQyGmdeOjD4qMTGRiIgIjh8/Tnh4uK21pKUmw1el8Oc03LAOIhvZWo94v7S0NGbPnk3Xrl3zNLmdiNqMeEptRjx1oTaTnJxMXFwcVatWvaRf1uXydezYkejoaD755BO7S3HjcrlITEwkPDwch6Ng79VcqB16kg00mENhMpwcddSinGs9HFqmoCQiIiIilywpKYl33nmHzp0743Q6+fzzz5k/fz7z5s2zu7QiQV3vCtkR55k+mgc1oIOIiIiIXDrDMJg9ezZXXXUVzZo1Y9asWXz99ddcf/31dpdWJOiOUiE74qwDacDBX+0uRURERER8WHBwMPPnz7e7jCJLd5QK2VFHLUwMOBUHp+PtLkdERERERHKhoFTI0o0QiKhvvTi03N5iREREREQkVwpKNnCdmU9J3e9ERERERLyTgpINzDPzKWlABxERERER76SgZAOzdBtr4+gaSD9tbzEiIiIiIpKDgpIdSlSFoHLgSoNj6+2uRkREREREslFQsoNhQKkW1vbh1fbWIiIiIiKXrUOHDowYMSLrdZUqVZg4ceIFP2MYBjNnzrzsa+fXecSdgpJdSjW31kcUlERERETs0qNHj/NO0Lp8+XIMw2Dt2rUen3fVqlXce++9l1uem7Fjx9K4ceMc++Pj47nhhhvy9VrZTZ48GcMwspaoqCh69OjB5s2b3Y4bNGgQhmFw33335TjHI488gtPpZNCgQVn7Dhw4wNChQ6lUqRKBgYFER0fTuXNnli8/Ozp0lSpV3K6dubz44osF9n1BQck+pRWUREREROw2ZMgQFixYwM6dO3O899FHH9G4cWOaNm3q8XnLli1LSEhIfpR4UdHR0QQGBhb4dcLDw4mPj2ffvn388MMPnDp1im7dupGamup2XMWKFZk2bRqnT599Fj85OZmvv/6aSpUquR178803s379eqZMmcJff/3Fd999R4cOHThy5Ijbcf/+97+Jj493Wx588MGC+7IoKNmnVDNrnbgF0k7aW4uIiIhIQTBNSD9lz2KaeSqxe/fulCtXjsmTJ7vtT0pKYvr06QwZMoTDhw9z5513UqFCBUJCQmjQoAGff/75Bc+bvevdtm3buPrqqwkKCqJu3brMmzcvx2cee+wxatWqRUhICNWqVePpp58mLS0NsO7ojBs3jvXr12fdUcmsOXvXu40bN3LttdcSHBxM6dKluffeezl58uzvm4MGDaJXr17897//JSYmhtKlS/PAAw9kXet8DMMgOjqamJgYmjdvzsiRI9m5cydbt251O65p06ZUqlSJGTNmZO2bMWMG5cuXd7sjduzYMZYuXcpLL73ENddcQ+XKlWnZsiVPPPEE3bp1cztnWFgY0dHRbkuJEiUuWO/l8ivQs8v5BcdAcHk4vReOroNyV9pdkYiIiEj+ykiCL0LtufZtJ8Hv4r9I+/n5MWDAACZPnswzzzyDYRgAfPnll6SmptK3b1+SkpJo1qwZjz32GOHh4fzwww/079+fatWq0apVq4tew+Vy0bt3b8qUKcOKFStITEx0e54pU1hYGJMnTyY2NpaNGzdyzz33EBYWxqOPPsrtt9/Opk2b+Omnn5g/fz4AEREROc6RlJREly5daN26NatWreLAgQPcfffdDB8+3C0MLly4kJiYGBYuXMj27du5/fbbady4Mffcc89Fvw9YIWfq1KkA+Pv753j/rrvuYtKkSfTt2xewgl6/fv1YsWJF1jGhoaGEhoYyc+ZMWrduXSh3xTyhO0p2Uvc7EREREdsNHjyYHTt2sGjRoqx9H330Eb179yYyMpLy5cszevRoGjduTLVq1XjwwQfp3LkzX375ZZ7OP3/+fLZs2cInn3xC48aNufrqq3n++edzHPfUU0/Rtm1bqlSpQo8ePXjkkUf44osvAAgODiY0NBQ/P7+sOyrBwcE5zvHZZ59x+vRpPv74Y+rXr8+1117LG2+8wSeffML+/fuzjouMjOSNN96gdu3adO/enW7duvHzzz9f8HscP36c0NBQSpQoQWRkJNOmTePGG2+kdu3aOY7t378/S5cuZceOHezcuZNff/2V2267ze0YPz8/Jk+ezJQpUyhZsiTt2rXjySefZMOGDTnO99hjj2UFq8zl3D+vgqA7SnYq1Rz2fKugJCIiIkWTM8S6s2PXtfOodu3atG3blo8++ohrrrmGv//+myVLljB37lwAMjIyePHFF5k+fTp79+4lJSWFlJSUPHf92rJlC5UqVaJChQpZ+9q0aZPjuK+++oqJEyeyfft2Tp48SXp6OuHh4Xn+HpnXatSokVtt7dq1w+VysXXrVqKiogCoV68eTqcz65iYmBg2btx4wXOHhYWxdu1a0tPTWbx4Mf/5z3945513cj22TJkydOvWjSlTpmCaJl27dqV06dI5jrv55pvp1q0bS5YsYfny5fz000+8/PLLfPDBB26DPvzf//2f22uA8uXLX+zHcVkUlOykke9ERESkKDOMPHV/8wZDhgxh+PDhvPnmm0yaNInKlStz3XXXAfDKK6/w6quvMnHiRBo0aECJEiUYMWJEjkEMzsfM5XmpzC5+mVasWMEdd9zBuHHj6Ny5MxEREUybNo1XXnnFo+9hmmaOc+d2zezd5QzDwOVyXfDcDoeDGjVqAFa4TEhI4Pbbb+eXX37J9fjBgwczfPhwAF5//fXznjcoKIiOHTvSsWNHnnnmGe6++27+9a9/uQWjMmXKZF27sKjrnZ2yBnTYCmmJ9tYiIiIiUozddtttOJ1Opk6dypQpU7jrrruygsWSJUvo2bMn/fr1o1GjRlSrVo1t27bl+dx169Zl165d7Nu3L2vfucNfA/z6669UrlyZMWPG0Lx5c2rWrJljJL6AgAAyMjIueq1169Zx6tQpt3M7HA5q1aqV55rzYuTIkaxfv55vvvkm1/e7dOlCamoqqampdO7cOc/nrVu3rlv9dlFQslNQWShR2drWxLMiIiIitgkNDeX222/nySefZN++fW53M2rUqMG8efNYtmwZW7ZsYejQoSQkJOT53Ndffz1XXHEFAwYMYP369SxZsoQxY8a4HVOjRg127drFtGnT+Pvvv3nttddyBJAqVaoQFxfHunXrOHToECkpKTmu1bdvX4KCghg4cCCbNm1i4cKFPPjgg/Tv3z+r211+CQ8Pz7r7k9tdM6fTyZYtW9iyZYtbN79Mhw8f5tprr+XTTz9lw4YNxMXF8eWXX/Lyyy/Ts2dPt2NPnDhBQkKC25KYWLA3GhSU7Fb6zEgph5Zf+DgRERERKVBDhgzh6NGjXH/99W7z/Tz99NM0bdqUzp0706FDB6Kjo+nVq1eez+twOPjmm29ISUmhZcuW3H333YwfP97tmJ49ezJy5EiGDx9O48aNWbZsGU8//bTbMTfffDNdunThmmuuoWzZsrkOUR4SEsKcOXM4cuQILVq04JZbbuG6667jjTfe8OyHkUcPP/wwW7ZsOe/AFuHh4ed9zio0NJRWrVrx6quvcvXVV1O/fn2efvpp7rnnnhz1PvPMM8TExLgtjz76aL5/n3MZZm7xrwhJTEwkIiKC48ePe/wwXH5LS0tj9uzZdO3a9Wy/0D8nwtqRENsNOnxva33ifXJtMyIXoDYjnlKbEU9dqM0kJycTFxdH1apVCQoKsqlC8UYul4vExETCw8NxOAr2Xs2F2qEn2UB3lOxW5syIJ4dX5HliNBERERERKVgKSnaLbAKOQEg5DCfy/lCgiIiIiIgUHAUluzkDzo5+d2jFhY8VEREREZFCoaDkDTK732lABxERERERr6Cg5A0UlERERKQIKeJjhYmXy6/2p6DkDTKD0vGNkHbC3lpERERELlHmXDmpqak2VyLFWVJSEsBlj+Tplx/FyGUKiYWQSpC0Cw6vguhr7a5IRERExGN+fn6EhIRw8OBB/P39C3wYaPEdLpeL1NRUkpOTC6xdmKZJUlISBw4coGTJkrlOcusJBSVvUaYN7Npldb9TUBIREREfZBgGMTExxMXFsXPnTrvLES9imianT58mODgYwzAK9FolS5YkOjr6ss+joOQtyrSBXdP1nJKIiIj4tICAAGrWrKnud+ImLS2NX375hauvvrpAJ7f29/e/7DtJmRSUvMW5AzqYJhRw0hYREREpKA6Hg6CgILvLEC/idDpJT08nKCioQINSflLHUW8R2RgcAZB6BE7F2V2NiIiIiEixpqDkLZwBEFHf2j66ztZSRERERESKOwUlb1KqibU+8ru9dYiIiIiIFHMKSt6kZGNrfXStrWWIiIiIiBR3CkrepHRLa31oBZgue2sRERERESnGFJS8Sakm4Ay2BnRI/NPuakREREREii0FJW/i8Icyra3tg0vtrUVEREREpBhTUPI2mfMpHV5lbx0iIiIiIsWYgpK3KdXMWh9ZY28dIiIiIiLFmIKSt8kMSsc3QUaKvbWIiIiIiBRTtgalF154gRYtWhAWFka5cuXo1asXW7dudTvGNE3Gjh1LbGwswcHBdOjQgc2bN9tUcSEIqQSBpcGVBsc22l2NiIiIiEixZGtQWrx4MQ888AArVqxg3rx5pKen06lTJ06dOpV1zMsvv8yECRN44403WLVqFdHR0XTs2JETJ07YWHkBMgyIVPc7ERERERE7+dl58Z9++snt9aRJkyhXrhxr1qzh6quvxjRNJk6cyJgxY+jduzcAU6ZMISoqiqlTpzJ06NAc50xJSSEl5WyXtcTERADS0tJIS0srwG9zcZnXv1gdjpKNcCbMxXVoFRlVBhdGaeKl8tpmRDKpzYin1GbEU2ozcim8pd14cn3DNE2zAGvxyPbt26lZsyYbN26kfv36/PPPP1SvXp21a9fSpEmTrON69uxJyZIlmTJlSo5zjB07lnHjxuXYP3XqVEJCQgq0/vwSk76Mlikvc8xRjcXBE+wuR0RERESkSEhKSqJPnz4cP36c8PDwCx7rNUHJNE169uzJ0aNHWbJkCQDLli2jXbt27N27l9jY2Kxj7733Xnbu3MmcOXNynCe3O0oVK1bk0KFDF/1hFLS0tDTmzZtHx44d8ff3P/+Bp+Lwn30FpuFP+k1HwBlYeEWKV8lzmxE5Q21GPKU2I55Sm5FL4S3tJjExkTJlyuQpKNna9e5cw4cPZ8OGDSxdmnOiVcMw3F6bppljX6bAwEACA3MGC39/f6/5y3zRWiJqQkAkRupR/JP+glJNC6848Ure1H7FN6jNiKfUZsRTajNyKexuN55c2yuGB3/wwQf57rvvWLhwIRUqVMjaHx0dDUBCQoLb8QcOHCAqKqpQayxUhqH5lEREREREbGRrUDJNk+HDhzNjxgwWLFhA1apV3d6vWrUq0dHRzJs3L2tfamoqixcvpm3btoVdbuFSUBIRERERsY2tXe8eeOABpk6dyrfffktYWFjWnaOIiAiCg4MxDIMRI0bw/PPPU7NmTWrWrMnzzz9PSEgIffr0sbP0gqegJCIiIiJiG1uD0ttvvw1Ahw4d3PZPmjSJQYMGAfDoo49y+vRphg0bxtGjR2nVqhVz584lLCyskKstZJlB6dgGyEgFZ4C99YiIiIiIFCO2BqW8DLhnGAZjx45l7NixBV+QNylRFQIiIfUoHN8MpZpc/DMiIiIiIpIvvGIwB8mFYUDkmdHu1P1ORERERKRQKSh5Mz2nJCIiIiJiCwUlb1ZKd5REREREROygoOTNSjW31sc2QEayvbWIiIiIiBQjCkreLLQaBEWDKwUO/WZ3NSIiIiIixYaCkjczDIjqYG0fWGRnJSIiIiIixYqCkrcr18Fa719oaxkiIiIiIsWJgpK3i7rGWh9aoeeUREREREQKiYKStwurCcExZ55TWm53NSIiIiIixYKCkrczDCh35q6Sut+JiIiIiBQKBSVfEKWgJCIiIiJSmBSUfEFmUDr8G6Qn2VuLiIiIiEgxoKDkC0KrQUhFcKXBwV/trkZEREREpMhTUPIFhqHudyIiIiIihUhByVdkBiVNPCsiIiIiUuAUlHxF2Sut9ZG1kJFqby0iIiIiIkWcgpKvCK0OgaWt+ZSOrbe7GhERERGRIk1ByVcYBpRqaW0f+s3eWkREREREijgFJV9Stq211nNKIiIiIiIFSkHJl0Rfb633LwBXhr21iIiIiIgUYQpKvqRUc/CPgNSjcHSt3dWIiIiIiBRZCkq+xOEHUdda2wnz7K1FRERERKQIU1DyNZnd7+IVlERERERECoqCkq+J7mitD/0K6afsrUVEREREpIhSUPI1YTWgRGVwpcGBJXZXIyIiIiJSJCko+RrDOKf73Vx7axERERERKaIUlHxRzA3Weu+3YJr21iIiIiIiUgQpKPmimM7gCIST/8CxjXZXIyIiIiJS5Cgo+SL/0LPDhO9faG8tIiIiIiJFkIKSryrbzlofWm5vHSIiIiIiRZCCkq8q08ZaH15hbx0iIiIiIkWQgpKvKt0CDAec2gmndttdjYiIiIhIkaKg5Kv8w6BUc2tbzymJiIiIiOQrBSVfljWgwwJ76xARERERKWIUlHxZ1DXWev9CzackIiIiIpKPFJR8Wdl24PCHpF3WnEoiIiIiIpIvFJR8mV8JKN3a2lb3OxERERGRfKOg5Ov0nJKIiIiISL5TUPJ1ek5JRERERCTfKSj5ujKtwRkEyfshcYvd1YiIiIiIFAkKSr7OGQhlr7S2E9T9TkREREQkPygoFQVZ3e8UlERERERE8oOCUlGQOaDDgcVguuytRURERESkCFBQKgpKNQNnCKQegeN/2F2NiIiIiIjPU1AqChz+UKaNtX1wib21iIiIiIgUAQpKRUW5q6z1gV/srUNEREREpAhQUCoqyl1trQ8s0XxKIiIiIiKXSUGpqCjdyuqCd3ovnIqzuxoREREREZ+moFRU+IVAqebW9gE9pyQiIiIicjkUlIqSrO53ek5JRERERORyKCgVJWU1oIOIiIiISH5QUCpKyrYDDDi5HU7H212NiIiIiIjPUlAqSgJKQsmG1raeUxIRERERuWQKSkVN5nNKmnhWREREROSSKSgVNZp4VkRERETksikoFTWZAzoc2wipR+2tRURERETERykoFTXB0RBWCzDh4K92VyMiIiIi4pMUlIoidb8TEREREbksCkpFUdnMiWc1oIOIiIiIyKVQUCqKMu8oHVkNaSftrUVERERExAcpKBVFJapYi5kO+xfYXY2IiIiIiM9RUCqKDAPKd7e2935vby0iIiIiIj5IQamoiu1mrRPm2luHiIiIiIgPUlAqqspeCYYfnNoJJ3fYXY2IiIiIiE9RUCqq/EOhVHNr+8AiW0sREREREfE1CkpFWfR11nrPd/bWISIiIiLiYxSUirJKt1nrfbMh9bi9tYiIiIiI+BAFpaKsZAMIvwJcKZAwz+5qRERERER8hoJSUWYYEHODtR2v0e9ERERERPJKQamoi+lkrRPmgmnaW4uIiIiIiI9QUCrqyl0NjgBrmPAT2+yuRkRERETEJygoFXV+Jaw5lUDPKYmIiIiI5JGCUnGQ2f0ufo69dYiIiIiI+AgFpeIg+kxQ2r8QMlLtrUVERERExAcoKBUHkY0gsCykn4TDK+yuRkRERETE6ykoFQeGQ93vREREREQ8oKBUXGR2v9N8SiIiIiIiF6WgVFzEdLTWR9ZA8iF7axERERER8XIKSsVFcAyUbAiYkDDf7mpERERERLyaglJxkvmcUoK634mIiIiIXIiCUnESfc6ADqZpby0iIiIiIl5MQak4KXcVOIPg9D44/ofd1YiIiIiIeC0FpeLEGQTl2lvbu2fYW4uIiIiIiBezNSj98ssv9OjRg9jYWAzDYObMmW7vDxo0CMMw3JbWrVvbU2xRUaWftd72FmSk2luLiIiIiIiXsjUonTp1ikaNGvHGG2+c95guXboQHx+ftcyePbsQKyyCKt0GQeUgOQEOLrG7GhERERERr+Rn58VvuOEGbrjhhgseExgYSHR0dCFVVAw4AyCmC8R9DAnzIPo6uysSEREREfE6tgalvFi0aBHlypWjZMmStG/fnvHjx1OuXLnzHp+SkkJKSkrW68TERADS0tJIS0sr8HovJPP6dtdhlL0Gv7iPMffNIb3es7bWIhfmLW1GfIfajHhKbUY8pTYjl8Jb2o0n1zdM0zvGiTYMg2+++YZevXpl7Zs+fTqhoaFUrlyZuLg4nn76adLT01mzZg2BgYG5nmfs2LGMGzcux/6pU6cSEhJSUOX7lEDXUbqcvguAH0OmkGpE2FyRiIiIiEjBS0pKok+fPhw/fpzw8PALHuvVQSm7+Ph4KleuzLRp0+jdu3eux+R2R6lixYocOnTooj+MgpaWlsa8efPo2LEj/v7+ttbiN7c5xvENpLf6GLPSHbbWIufnTW1GfIPajHhKbUY8pTYjl8Jb2k1iYiJlypTJU1Dy+q5354qJiaFy5cps27btvMcEBgbmerfJ39/fa/4ye0UtsZ3h+Ab89s+B6v3trUUuyivajPgUtRnxlNqMeEptRi6F3e3Gk2v71DxKhw8fZvfu3cTExNhdiu+r0Mta750FGSkXPFREREREpLixNSidPHmSdevWsW7dOgDi4uJYt24du3bt4uTJk4wePZrly5ezY8cOFi1aRI8ePShTpgw33XSTnWUXDWVaQ3AspCXC/oV2VyMiIiIi4lVsDUqrV6+mSZMmNGnSBIBRo0bRpEkTnnnmGZxOJxs3bqRnz57UqlWLgQMHUqtWLZYvX05YWJidZRcNhgNiu1nb8XPsrUVERERExMvY+oxShw4duNBYEnPm6Bf4AhXTGf5+H+J/BF61uxoREREREa/hU88oST6Lvh4cAZC4FY6ut7saERERERGvoaBUnAVEQPke1nbcJ/bWIiIiIiLiRRSUirsqfaz17hngHVNqiYiIiIjYTkGpuIvuBI5AOBUHxzfbXY2IiIiIiFdQUCru/EOtZ5UA9n5nby0iIiIiIl5CQUmgwo3Weo+CkoiIiIgIKCgJQGx3a334Nzgdb28tIiIiIiJeQEFJICQWSre0tvd+b28tIiIiIiJeQEFJLOUzu999a28dIiIiIiJeQEFJLBV6WuuE+ZB20t5aRERERERspqAkloh6EFoNXCkQP8fuakREREREbKWgJBbDgAq9rG11vxMRERGRYk5BSc7KDEr7vgdXmq2liIiIiIjYSUFJzirTFgLLQOpROLDE7mpERERERGyjoCRnOZxQvoe1re53IiIiIlKMKSiJu6znlGaCadpZiYiIiIiIbRSUxF10R3CGQNIuOLrO7mpERERERGyhoCTu/IIhprO1vWemraWIiIiIiNhFQamQmCasWmUwdWptkpLsruYizu1+JyIiIiJSDCkoFaI77nDyxRdXsHChYXcpF1a+OxhOOLYBTv5jdzUiIiIiIoVOQamQGAZ06+YC4IcfvDwoBZaCcu2tbY1+JyIiIiLFkIJSIerWzRpFbvZsh/cPKKfudyIiIiJSjCkoFaL27U2CgtLZt8/g99/truYiKvS01geWwKld9tYiIiIiIlLIFJQKUVAQNGp0EIBZs2wu5mJKVIKoawETtr9rdzUiIiIiIoVKQamQtWiRAPhAUAKoeZ+13vGZJp8VERERkWJFQamQNW++H4A1a2DfPpuLuZjYbtbks6d2wlFv7ysoIiIiIpJ/FJQKWcmSKbRokTn6nc3FXIxfCMTeYG3v/treWkRERERECpGCkg0yR7/zie53FW+21ru/Vvc7ERERESk2FJRskDmf0vz5cPq0zcVcTPlu4AiAxK1w/A+7qxERERERKRQKSjZo2BAqVrRC0s8/213NRfiHQ3Qna1vd70RERESkmFBQsoFhQI8e1rZvdL/rba0VlERERESkmFBQssm5QcnlsreWi6pwIxhOOLYBTmy3uxoRERERkQKnoGSTa66B8HCIj4cVK+yu5iICS0PUNdb27hn21iIiIiIiUggUlGwSGAjdu1vbM3whe5w7+p2IiIiISBGnoGSj3mce/ZkxwwdG3q7QCzDg8Eo4tdvuakRERERECpSCko26dIHgYIiLg/Xr7a7mIoKjoeyV1ra634mIiIhIEaegZKMSJaywBPC1L/RoU/c7ERERESkmFJRsdm73O6+XOUz4waWQtMfeWkRERERECpCCks26dwc/P/jjD/jzT7uruYgSFaHsVYAJOz63uxoRERERkQKjoGSzkiXhuuus7W++sbWUvKnS11rv+MzeOkRERERECpCCkhe4+cyjPz7xnFKlW8HhD8fWw7FNdlcjIiIiIlIgFJS8QM+eYBiwZg3s3Gl3NRcRWApiu1rbuqskIiIiIkWUgpIXKFcOrrrK2vat7ndTwXTZW4uIiIiISAFQUPISmd3vfGL0u9ju4B8OSbvg4K92VyMiIiIiku88CkorV64kIyMj67Vpmm7vp6Sk8MUXX+RPZcXMTTdZ66VLISHB3louyi/47JxKOz61txYRERERkQLgUVBq06YNhw8fznodERHBP//8k/X62LFj3HnnnflXXTFSsSK0aAGmCd9+a3c1eZDZ/W7Xl5CRYm8tIiIiIiL5zKOglP0OUvbX59sneeNTk8+W6wDBsZB6FPb9aHc1IiIiIiL5Kt+fUTIMI79PWWxkBqUFC+DoUXtruSiHEyqfuXuo0e9EREREpIjRYA5epFYtqF8f0tNh1iy7q8mDzO53e2dB6nF7axERERERyUd+nn7gjz/+IOHMaAOmafLnn39y8uRJAA4dOpS/1RVDN98MmzbBl1/CgAF2V3MRkY0hoi4c/wN2fw3VB9tdkYiIiIhIvvA4KF133XVuzyF1794dsLrcmaaprneX6dZbYdw4mDMHjh2DkiXtrugCDMO6q7R+jNX9TkFJRERERIoIj4JSXFxcQdUhZ9SrZy2bN1uj3w0caHdFF1G5jxWU9i+EpL0QUt7uikRERERELptHQaly5coFVYec47bb4F//gi++8IGgFFoFyl4JB5fCzs+hzmi7KxIRERERuWweDeZw5MgR9uzZ47Zv8+bN3HXXXdx2221MnTo1X4srrm67zVrPnQtHjthbS55kDuqg0e9EREREpIjwKCg98MADTJgwIev1gQMHuOqqq1i1ahUpKSkMGjSITz75JN+LLG5q14aGDa3R72bOtLuaPKh0Kxh+cHQdHNtkdzUiIiIiIpfNo6C0YsUKbrzxxqzXH3/8MaVKlWLdunV8++23PP/887z55pv5XmRxlHlX6Ysv7K0jTwJLQ3lrUA+2v2dvLSIiIiIi+cCjoJSQkEDVqlWzXi9YsICbbroJPz/rUacbb7yRbdu25W+FxdStt1rr+fPh8GF7a8mTmvdb67gpkHbS3lpERERERC6TR0EpPDycY8eOZb1euXIlrVu3znptGAYpKSn5VlxxVqsWNG4MGRnwzTd2V5MH0ddDWE1IS9SzSiIiIiLi8zwKSi1btuS1117D5XLx1VdfceLECa699tqs9//66y8qVqyY70UWVz7V/c5wnL2rtO0tOGeuLRERERERX+NRUHr22Wf59ttvCQ4O5vbbb+fRRx8lMjIy6/1p06bRvn37fC+yuMoMSj//DPv321tLnlQbBM5gOLYBDi2zuxoRERERkUvm0TxKjRs3ZsuWLSxbtozo6GhatWrl9v4dd9xB3bp187XA4qx6dWjZElauhOnT4aGH7K7oIgIioUof+PtD+OtNKNvO7opERERERC6JR3eUAMqWLUvPnj1zhCSAbt26uQ32IJevXz9r/emn9taRZzWHWevdX8FpX7gNJiIiIiKSk0d3lD7++OM8HTdgwIBLKkZyuv12GDkSVq2CrVvhiivsrugiSjWF0q3h8Ar4+wOoP8buikREREREPOZRUBo0aBChoaH4+flhnudhfcMwFJTyUbly0LkzzJ4Nn30G//633RXlQa1hsHwFbH8X6j4GDo+amYiIiIiI7TzqelenTh0CAgIYMGAAixcv5ujRozmWI0eOFFStxda53e98YjC5SrdCYBlI2g17v7e7GhERERERj3kUlDZv3swPP/zA6dOnufrqq2nevDlvv/02iYmJBVWfAD17QmgoxMXB8uV2V5MHziCoPsTa3v6evbWIiIiIiFwCjwdzaNWqFe+++y7x8fE89NBDfPHFF8TExNC3b19NNltAQkKgd29r+zNfmcu1+t3WOv4nOLXL3lpERERERDzkcVDKFBwczIABAxg3bhwtW7Zk2rRpJCUl5Wdtco7M7nfTp0Nqqr215ElYDYi6BjDhn0l2VyMiIiIi4pFLCkp79+7l+eefp2bNmtxxxx20aNGCzZs3u00+K/nr2mshOhoOH4Y5c+yuJo8y7yr9/SG4MuytRURERETEAx4FpS+++IIbbriBmjVrsmrVKl555RV2797Nyy+/TO3atQuqRgGcTujTx9r2mTmVKva2JqFN2g0J8+yuRkREREQkzzwat/mOO+6gUqVKjBw5kqioKHbs2MGbb76Z47iHHnoo3wqUs/r2hQkT4Lvv4PhxiIiwu6KLcAZBlf7w12uw7S2I7WJ3RSIiIiIieeJRUKpUqRKGYTB16tTzHmMYhoJSAWnSBOrWhT/+sJ5VuvdeuyvKg1rD4K/XYe8sOL4FIurYXZGIiIiIyEV5FJR27Nhx0WP27t17qbXIRRgGDB4Mo0fDhx/6SFAKvwIq9IQ9M+HPV6DVB3ZXJCIiIiJyUZc86l12CQkJPPTQQ9SoUSO/Tim56N8f/Pxg5UrYuNHuavKozv9Z67hP4HS8vbWIiIiIiOSBR0Hp2LFj9O3bl7JlyxIbG8trr72Gy+XimWeeoVq1aixfvpyPPvqooGoVoFw5awJasO4q+YSybaFMW3ClwtbX7a5GREREROSiPApKTz75JL/88gsDBw6kVKlSjBw5ku7du7N06VJ+/PFHVq1axZ133llQtcoZQ4ZY608+AZ+Z4zfzrtK2tyDthL21iIiIiIhchEdB6YcffmDSpEn897//5bvvvsM0TWrVqsWCBQto3759QdUo2XTqBBUqwJEjMHOm3dXkUYUbIawWpB2Hv/WckoiIiIh4N4+C0r59+6hbty4A1apVIygoiLvvvrtACpPzczrhrrus7Q98JXMYDqgz2tr+81Vwpdlbj4iIiIjIBXgUlFwuF/7+/lmvnU4nJUqUyPei5OIGD7ZGwZs/H+Li7K4mj6r2h6AoawLanV/YXY2IiIiIyHl5NDy4aZoMGjSIwMBAAJKTk7nvvvtyhKUZM2bkX4WSqypV4LrrrKA0aRL8+992V5QHziCo9SBseAq2/Aeq9LHSnoiIiIiIl/HojtLAgQMpV64cERERRERE0K9fP2JjY7NeZy5SODJ7PU6aBBkZ9taSZzXvB78ScGw9JMyzuxoRERERkVx5dEdp0qRJBVWHXIJevaBUKdizB+bOhRtusLuiPAgsBdXvhq3/s+4qxXSyuyIRERERkRzybcJZKXyBgdYEtOBDcyoB1B4JhhMS5sOR3+2uRkREREQkB1uD0i+//EKPHj2IjY3FMAxmZhvr2jRNxo4dS2xsLMHBwXTo0IHNmzfbU6yXypxT6dtv4cABe2vJsxKVodJt1vaW/9pbi4iIiIhILmwNSqdOnaJRo0a88cYbub7/8ssvM2HCBN544w1WrVpFdHQ0HTt25MQJTViaqUEDaNkS0tOtCWh9RuYEtLumw6md9tYiIiIiIpKNrUHphhtu4LnnnqN379453jNNk4kTJzJmzBh69+5N/fr1mTJlCklJSUydOtWGar1X5l2lDz4A07S3ljwr1QSirwczw5pXSURERETEi3g0mENhiouLIyEhgU6dzj7sHxgYSPv27Vm2bBlDhw7N9XMpKSmkpKRkvU5MTAQgLS2NtDR7JznNvH5+13HzzTBypB9//mnwyy/ptG3rG2nJqDkSv4T5mNs/IL32kxAQaXdJXqeg2owUXWoz4im1GfGU2oxcCm9pN55c32uDUkJCAgBRUVFu+6Oioti58/xdtV544QXGjRuXY//cuXMJCQnJ3yIv0bx5+T8sduvWTViwoBLPPruXBx9cl+/nLxCmSQdHFSIydrBt9ii2Bdxqd0VeqyDajBRtajPiKbUZ8ZTajFwKu9tNUlJSno/12qCUycg2Ialpmjn2neuJJ55g1KhRWa8TExOpWLEinTp1Ijw8vMDqzIu0tDTmzZtHx44d8ff3z9dzlyxpsGABLF9eienTY7H5q+aZsfM4rBxEHcd8anZ+25qUVrIUZJuRokltRjylNiOeUpuRS+Et7Sazt1leeG1Qio6OBqw7SzExMVn7Dxw4kOMu07kCAwMJDAzMsd/f399r/jIXRC1XXw1XXAFbtxrMmOHPPffk6+kLTrU+sOlpjKTd+O+ZBjV8pfDC5U3tV3yD2ox4Sm1GPKU2I5fC7nbjybW9dh6lqlWrEh0d7XZ7LjU1lcWLF9O2bVsbK/NOhgF3321tf/CBvbV4xOFvzasE1lDhrgx76xERERERweagdPLkSdatW8e6desAawCHdevWsWvXLgzDYMSIETz//PN88803bNq0iUGDBhESEkKfPn3sLNtrDRgA/v6wciX87kvzuFa/xxrI4cRfsOcbu6sREREREbE3KK1evZomTZrQpEkTAEaNGkWTJk145plnAHj00UcZMWIEw4YNo3nz5uzdu5e5c+cSFhZmZ9leq1w5awQ8gDfftLcWj/iHQq0Hre3NL/jQGOciIiIiUlTZGpQ6dOiAaZo5lsmTJwPWQA5jx44lPj6e5ORkFi9eTP369e0s2es98IC1njoVjh61txaPXPEQOEPg6FpI0Cg6IiIiImIvr31GSS5Nu3bQoAGcPg1n8qZvCCwNNe61tje/YG8tIiIiIlLsKSgVMYZx9q7S22+Dy2VvPR6p84g1uMOBRXBohd3ViIiIiEgxpqBUBPXtC+HhsG0bzJ9vdzUeCKkAVfpb27qrJCIiIiI2UlAqgkJDYeBAa/utt+ytxWN1HwUM2PsdHNtodzUiIiIiUkwpKBVR999vrWfNgl277K3FI+FXQKVbrO2NY20tRURERESKLwWlIqpOHbj2WusZJZ+7q9RgLGDA7hlwZI3d1YiIiIhIMaSgVIQ99JC1fvddOHnS3lo8ElEXqvS1ttc/bW8tIiIiIlIsKSgVYd27Q40acOwYTJlidzUeajAWDCfE/wgHf7W7GhEREREpZhSUijCnE0aMsLYnToSMDDur8VBYdag22NpePwZM0956RERERKRYUVAq4gYNgshI2L4dvv/e7mo8VP9pcATAgcWw/2e7qxERERGRYkRBqYgrUQKGDrW2J0ywtxaPlagINe6zttc/pbtKIiIiIlJoFJSKgeHDwc8PfvkFVq+2uxoP1XsCnCFw+DfYO8vuakRERESkmFBQKgbKl4c77rC2X33V3lo8FhwNV5wZvm/1g5B2wt56RERERKRYUFAqJkaOtNZffAG7d9tbi8fqjYESVSFpF/z+f3ZXIyIiIiLFgIJSMdG0KXToAOnp8MYbdlfjIf9QaP2Rtb39XTi6ztZyRERERKToU1AqRkaNstY+NwEtQFQHqHyntb3uCVtLEREREZGiT0GpGOnWDWrWhOPH4YMP7K7mEjR8Fgw/iP8J9i+yuxoRERERKcIUlIoRhwNGj7a2X34ZkpPtrcdjYdWhxpmxztc9puHCRURERKTAKCgVMwMHQoUKEB8PH31kdzWXoP7T4FcCDq+EPd/YXY2IiIiIFFEKSsVMYCA89pi1/eKLkJpqbz0eC46C2mcetlr/JLjS7a1HRERERIokBaViaMgQiI62hgn/+GO7q7kEdUZDYBlI3Ar/TLa7GhEREREpghSUiqHgYHj0UWv7hResIcN9in841HvK2t74L0hPsrceERERESlyFJSKqaFDoWxZ+OcfmDrV7mouQc37oEQVOL0Ptr5mdzUiIiIiUsQoKBVTISHwyCPW9vjxkJFhbz0ecwZaw4UDbB4Pp3bZW4+IiIiIFCkKSsXYsGFQqhT89Rd88YXd1VyCKn2gTFtIPwmrh9tdjYiIiIgUIQpKxVhYGIwcaW2PHw8ul731eMxwQKsPrElo986CfXPsrkhEREREiggFpWLuwQchIgI2b4ZvfHFaoog6UOvM3aS1I8CVZms5IiIiIlI0KCgVcxER8NBD1vZzz4Fp2lvPJWnwLwgsC4l/wtbX7a5GRERERIoABSVhxAgIDYV16+D77+2u5hIElIRG463t9U/CsY22liMiIiIivk9BSShVCoaf6b3273/76F2l6kMgtiu4UmDFEHD52jB+IiIiIuJNFJQEgFGjrCHDV6+GOb44JkLmwA7+EXBkFfylLngiIiIicukUlASwJp+97z5r+9lnffSuUnAMNHnZ2t7wlOZWEhEREZFLpqAkWUaPhsBAWLYMFi60u5pLVP1uKHslpJ+y5lbyycQnIiIiInZTUJIsMTFwzz3W9rPP2lvLJTMc0PJdcPhbcyvtmWl3RSIiIiLigxSUxM1jj0FAACxaBEuW2F3NJYqoC3UetbZXPwhpifbWIyIiIiI+R0FJ3FSoAHfdZW0/84wP91yrNwZCq8PpvbD+aburEREREREfo6AkOYwZYz2rtGiRj46AB+AXDC3etrb/eh0OrbS3HhERERHxKQpKkkPFivDgg9b244+Dy2VvPZcspiNU6QuYsLw/pB61uyIRERER8REKSpKrJ56AiAhYvx4+/9zuai5Ds9cguDyc+AuW3u7DfQlFREREpDApKEmuSpWyBnYAeOopSEmxt55LFlgKOswGZzAkzIOtr9ldkYiIiIj4AAUlOa+HH7aGDN+xA9591+5qLkNkQ2j0vLW9diTsX2xvPSIiIiLi9RSU5LxCQmDsWGv7uefgxAlby7k8VzwMVQdiPa80AFKP212RiIiIiHgxBSW5oMGDoVYtOHgQXnnF7moug2FA89chtBok7YI1D9tdkYiIiIh4MQUluSA/Pxg/3tp+5RXYv9/eei6Lfxi0+RgMB8RNgd0z7K5IRERERLyUgpJc1M03Q4sWcPIkjBtndzWXqWw7qHNmlIqV98LpeHvrERERERGvpKAkF2UY8J//WNvvvgubNtlbz2VrMBYiG0PKYVgxREOGi4iIiEgOCkqSJ+3bW3eWXC4YOdLHs4UzANp8Co5AiP8RtvvykH4iIiIiUhAUlCTP/vMfCAyE+fNh1iy7q7lMJetB4xet7bWPQOJf9tYjIiIiIl5FQUnyrGpVGDXK2n7kER+ehDbTFQ9B1LWQkQRLb4HkQ3ZXJCIiIiJeQkFJPPLEExAdDdu3w+uv213NZTIc0HoyBEXBsY2wYqCP9ykUERERkfyioCQeCQuDF16wtp99FhIS7K3nspWoCNfOA0cA7JttdcNTWBIREREp9hSUxGMDBkDLlpCYCP/3f3ZXkw9KNoDmb1rbW1+F9U/YW4+IiIiI2E5BSTzmcMCbb1rDhn/6Kfzyi90V5YMad0PL96ztP16CndPtrUdEREREbKWgJJekeXMYOtTafuABSEuzt558UeMeqPOotb1isPXckoiIiIgUSwpKcsnGj4fSpa0JaH1+YIdMjZ6H6I7WSHi/9IbUY3ZXJCIiIiI2UFCSS1aqFLz0krX9r3/Bvn321pMvHE5oOxVCKsHJ7bB8AJguu6sSERERkUKmoCSX5a67oFUrOHkSRo+2u5p8ElQGrp4BjkDYOws2jbe7IhEREREpZApKclkcDnjrLWv9+eewYIHdFeWTUs2gxdvW9sZ/wb4f7a1HRERERAqVgpJctqZN4f77re0HHoCUFHvryTfV74Ia9wEm/NoHDiyxuyIRERERKSQKSpIvnn0WypWDP/+E556zu5p81GwilGkDacdgwfVwYKndFYmIiIhIIVBQknwRGWnNrQTw4ouwbp2t5eQfZyBcMwdiu4MrFZb0ghPb7a5KRERERAqYgpLkm1tugd69IT0dBg8uInMrAfiHwZXToFRzSDkMi7paaxEREREpshSUJF+9+aZ1d+n33+G//7W7mnzkVwLaz4ISleHENlh8I6SdsLsqERERESkgCkqSr6Kj4X//s7bHjoUtW2wtJ38FR0P7H8C/JBxaBr/eAa4Mu6sSERERkQKgoCT5rl8/uOEGSE2FIUMgoyhliZL1rGeWnMGwbzb8XlQmjxIRERGRcykoSb4zDHj3XQgLg+XLYcIEuyvKZ2VaQuvJ1vbWifDn/+ysRkREREQKgIKSFIiKFeHVV63tp56CDRvsrSffVb4NGr1gba8dCbu+trceEREREclXCkpSYAYPhh49rC54/fsXoYloM9V9DGreD5iw7E6I+9TuikREREQknygoSYExDHj/fShTxrqjNHas3RXlM8OAZq9DpdvBlQbL+6sbnoiIiEgRoaAkBSoqCt57z9p++WX49Vd768l3Die0mwq1H7Ferx0B29+3tSQRERERuXwKSlLgbroJBgwAl8tanzxpd0X5zHBAk/9AnTMj4K0cqm54IiIiIj5OQUkKxWuvQaVK8M8/8MgjdldTAAwDGr8MNYcBJqwYCLu+srsqEREREblECkpSKCIiYPJka/u99+Dbb20tp2AYBjR/HardBaYLfr0T9v5gd1UiIiIicgkUlKTQXHPN2btJgwfDnj321lMgDAe0fB8q3wFmOiy5GRJ+trsqEREREfGQgpIUquefh2bN4MgR6NMH0tPtrqgAOJzQ5mOo0BNcKbD4Rjiw1O6qRERERMQDCkpSqAICYNo0CA2FJUvguefsrqiAOPyh3XSI6QwZSbCoKxxcbndVIiIiIpJHCkpS6GrUgHfesbaffRYWL7a3ngLjDISrZkC59pB+AhZcC7u/sbsqEREREckDBSWxRd++MHCgNWR4375w+LDdFRUQvxDo8APEdoeMZOuZJU1KKyIiIuL1FJTENm+8AbVqwd691uAOpml3RQXErwRc/Q3UvB8wrUlp14wEV4bdlYmIiIjIeSgoiW1CQ63nlQIC4LvvrOBUZDn8oPmb0Pgl6/XWifDrbZB+2tayRERERCR3CkpiqyZN4D//sbYfeQSWF+XxDgwD6j4K7aaBIwB2z4Cfr4Xkg3ZXJiIiIiLZKCiJ7R58EG65BdLS4OabISHB7ooKWOXb4dr5EBAJh1fA3NZw/E+7qxIRERGRcygoie0MAz76COrWhfh4uPVWSE21u6oCVu4q6LgMSlSFk//A3DaamFZERETEi3h1UBo7diyGYbgt0dHRdpclBSAsDL75BsLDYelSGD3a7ooKQURt6PwblGkLacdgYRf4e5LdVYmIiIgIXh6UAOrVq0d8fHzWsnHjRrtLkgJSqxZ89pm1/frrMKk4ZIagsnDdz1D5TjDT4bfBsPmFIjwEoIiIiIhv8Pqg5OfnR3R0dNZStmxZu0uSAtS9O4wda20PHQpLlthaTuFwBkHbz6DuY9br9U/C6gfBlW5vXSIiIiLFmJ/dBVzMtm3biI2NJTAwkFatWvH8889TrVq18x6fkpJCSkpK1uvExEQA0tLSSEtLK/B6LyTz+nbX4e0efxw2bXLy1VcObrrJ5Ndf07nAH3nRUe9ZHP5lcK7/P9j2Jq5jm0lvZE1OqzYjeaV/Z8RTajPiKbUZuRTe0m48ub5hmt7bx+fHH38kKSmJWrVqsX//fp577jn+/PNPNm/eTOnSpXP9zNixYxk3blyO/VOnTiUkJKSgS5Z8kpLiZMyYdmzfHknFiom89NISQkKKxx2W6PQVNEuZiB/JpBPE2sARxPu1trssEREREZ+XlJREnz59OH78OOHh4Rc81quDUnanTp2ievXqPProo4waNSrXY3K7o1SxYkUOHTp00R9GQUtLS2PevHl07NgRf39/W2vxBfv2Qdu2fuzbZ9Cli4tvvsnA6bS7qkJyYivONcNxHFwMQGrtMRj1nwbD63vLis3074x4Sm1GPKU2I5fCW9pNYmIiZcqUyVNQ8vqud+cqUaIEDRo0YNu2bec9JjAwkMDAwBz7/f39veYvszfV4s0qV4bvvoOrroKffnLw5JMOJkywu6pCUqo+XDefjNUjcW5/g4A/x8OpP6H1ZPAPtbs68QH6d0Y8pTYjnlKbkUthd7vx5No+9b+nU1JS2LJlCzExMXaXIoWkWTOYMsXafvVVeP99e+spVA4/XE0m8HvAcEzDH3Z/DfPaWvMuiYiIiEiB8uqgNHr0aBYvXkxcXBy//fYbt9xyC4mJiQwcONDu0qQQ3Xor/Pvf1vawYTBnjr31FLZd/teT0WE+BEXBsY3wUwtNTisiIiJSwLw6KO3Zs4c777yTK664gt69exMQEMCKFSuoXLmy3aVJIXvqKejXD9LT4eabYe1auysqXGaZNtBlNZRqAalHYGFn+HOi5lsSERERKSBe/YzStGnT7C5BvIRhwIcfQnw8/PwzdO0Ky5dD1ap2V1aIQipAx19g5VCI+xjWjoQDi6DZa1Cikt3ViYiIiBQpXn1HSeRcAQHw9dfQsCHs3w833ACHD9tdVSFzBlkDOjR9FQwn7PkWfqgLf0/S3SURERGRfKSgJD4lIgJ+/BEqVoStW6FHDzh92u6qCplhQO0RcMM6KHslpJ+C3wbD0lshpbglRxEREZGCoaAkPic2Fn76CUqWtLrf3XEHFMvJwUvWh+sWQeMXwfCzRsWb3VADPYiIiIjkAwUl8Ul168K330JgoDXXUt++1kAPxY7DCXUfg84rIPwKOL0PFlwPG54BV4bd1YmIiIj4LAUl8VlXX209s+TvD19+CQMHQkZxzQalmkGXNVBjqPV607PWnEsHfrG3LhEREREfpaAkPq1bNysk+fnB1KkwZAi4XHZXZRO/EtDyHWjzqbV9eCXMbw9LboHT8XZXJyIiIuJTFJTE5/XsCdOmgdMJU6bA0KHFOCwBVO0LPbZDjfuskfF2fw3f14Xt70FGst3ViYiIiPgEBSUpEm6+GT79FBwO+OADGD68mI+WHRwNLd+GLmuhVHNIO2bNv/RDA4ifa3d1IiIiIl5PQUmKjDvusO4oGQa8/TaMGFHMwxJAZEPotBya/BeCouHkdljYGX7tC8kH7K5ORERExGspKEmR0q8ffPihtf3aa9adpWLdDQ/A4Qd1HoEeW+GKEWA4YOdU+L4O/DNZaVJEREQkFwpKUuTcdRe8/751Z+mtt+Duu4vxaHjn8g+HZq9Cp98gsjGkHoEVd8H8q+DIWrurExEREfEqCkpSJN19N3z8sTXAw6RJ1p2mYjkpbW5KN4fOK6Hxy+AMgYO/wk/NYdUDkHrU7upEREREvIKCkhRZ/frB9OnW0OHTpsEtt8Dp03ZX5SUc/lD3/6zueJXvBEzY9hbMqgXbP9BktSIiIlLsKShJkXbzzTBzJgQGwnffwQ03wPHjdlflRUIqQLupcN1CiKgLKYdg5T3wYyPYO1vPL4mIiEixpaAkRV63bjBnDoSHw+LF0KED7N9vd1VeJqoD3LAOmk6AgEg4vhkWd4MF18HB5XZXJyIiIlLoFJSkWGjfHhYtgnLlYN06uPJKiIuzuyov4/CH2iPhxr+hzmhwBMD+hTCvLSzsAodW2F2hiIiISKFRUJJio0kTWLoUqlSB7duhbVtYs8buqrxQQCQ0+Q903wrVh4DhhPg5MLcNLL4Rjm20u0IRERGRAqegJMVKzZrw66/QoAEkJMDVV1vPLkkuQqtAqw+gx19Q7S5r/qW9s2B2I1jWD05st7tCERERkQKjoCTFTmysdWepUydISoJeveB//9O4BecVWg1afwTd/oBKtwIm7PgMvq9tzcOkwCQiIiJFkIKSFEvh4fD99zB0qBWQRoyAhx6C9HS7K/Ni4VfAlV9Al9UQ0wXMDPhnshWYlvVTlzwREREpUhSUpNjy94e334b//AcMA954A3r2hBMn7K7My5VqBtf8CJ1+g9iuVmDa8RnMbgiLulsT2IqIiIj4OAUlKdYMA0aPhq++guBgmD3bGuRhu3qTXVyZltDhB+iyBirdBhiw7weYdyXMuwr2/qD+jCIiIuKzFJREgN69reHDY2Jg0yZo0QJ+/NHuqnxEqaZw5fQzo+TdYw0rfnApLO5uTVwb9xlkpNpdpYiIiIhHFJREzmjZElavhjZt4Ngxa6La55/XTZE8C68Jrd6DG+OseZj8Qq3nlpb3g28rwYZnIGmv3VWKiIiI5ImCksg5YmNh4cKzgzyMGQO33KLnljwSEmvNw9RrFzR8DoJjIHk/bHoWvq0MS26GfXPAdNldqYiIiMh5KSiJZBMYCO+8A++9Zw34MGMGNG8OGzbYXZmPCYiE+mOg505oNx3KXW0N/LB7BizqAt9Vh03j4XS83ZWKiIiI5KCgJHIe99wDixdD+fLw11/QqhW8/7664nnM4Q+Vb4PrF0PXjVDrIfAvCad2wIanYGZF+KU37PsJXBl2VysiIiICKCiJXFCbNrBuHXTtCsnJcO+90K+fuuJdspL1ofn/4Ka90HoKlG1n3WXa8w0sugFmVYdNz0HSPrsrFRERkWJOQUnkIsqUgVmz4KWXwOmEqVOhaVNYtcruynyYXwhUGwAdl0LXTXDFw2fuMu2EDU9bgz/8fC1s+S+c/MfuakVERKQYUlASyQOHAx591OqKV6GCNc9S27YwfjxkqLfY5SlZD5pNhJv2QZtPoOyV1l2m/Qvh9/+znmWa3Rg2jIXDqzQIhIiIiBQKBSURD7RrZw3qcPvtkJ4OTz0FHTrAjh12V1YE+AVD1X7QcQn02A7N/gdR14LhhGPrYdM4mNMSvikPK++zRs7T/EwiIiJSQBSURDwUGQmffw4ffwxhYbB0KTRqBJ99ZndlRUhYdbjiIbjuZ7gpAVp9BBV7g18YJCfA9netkfNmlIVf+8DO6ZB61O6qRUREpAhRUBK5BIYB/fvD+vVWF7zERGuQh1tugf377a6uiAkqA9Xvgqu+hpsPQYefoMZQCIqGtETY+Tn8egd8XRbmXQWbX4Ajv6uLnoiIiFwWBSWRy1C1qvXc0rhx4OcHX38N9epZAz5oGPEC4AyA2M7Q8h1r5LyOy6DOoxBRz3qu6eBSWP8k/NQUvomBZf0h7lNIPmB35SIiIuJjFJRELpOfHzzzjDUKXuPGcPgw9O0LN94Iu3fbXV0RZjigbBto8hJ02wQ9d0CLt6B8D/ArYYWjHZ/C8v4wIwp+bAbrnoSEnyHliN3Vi4iIiJdTUBLJJ40bw8qV8Oyz4O8P338PderAxIkaGa9QlKgMNe+H9t/BzUfgugVQ9zGIbGy9f3Qt/PECLLgevi5tjaa3rB/89SYcWQuuNFvLFxEREe/iZ3cBIkWJv781El7v3tbktL/+CiNHwqefwptvQqtWdldYTDgDIOoaa2n8IpxOgPi5ED8HDi2DUzus+ZlO/gM7zozC4QyG0i2gdGso0wbKtIbgaFu/hoiIiNhHQUmkANStC7/8Ah98YM2/tGYNtG4Nd94JL7wAlSvbXWExExxtTXBbbYD1OvUYHF4Jh5afWVZA2nE48Iu1ZAqpCKVbQqlmENnEWoKjbPkKIiIiUrgUlEQKiMNh3VW68UZ48kmYPNkaVnzGDBg1Ch5/HMLD7a6ymAooCTGdrAWsEfIS/4RDv50NT8c3Q9Jua9n99dnPBsdAycZWl77IxlCyIYTVBIez8L+HiIiIFBgFJZECFh0NH30EDz4IjzwCCxdad5U+/NB6nmnwYGtACLGR4YCIutZS/S5rX9oJ69mlwyut55uO/g6Jf8HpeGuJ//Hs551BEFHfCk2Rjax1RF0ILGuNJS8iIiI+R7+eiRSSJk3g559h1iwYPRq2bYOhQ+G11+CVV6BzZ7srFDf+YRDV3loypZ2EYxvh2Dprrqaj6+D4Jsg4DUdWW8u5AkpBRB0IP7NkbpeoZIUzERER8VoKSiKFyDCsrnhdusA771jzL23ebL3u0gX++19rHibxUv6h1pDkZduc3efKsAaFOLYejm2wlqMbrAEjUo/AwV+t5VzOEAi/4kyAqm113QurYS0BJQvzG4mIiMh5KCiJ2CAgAB56CPr3h+eeg9dfh59+grlzoU8fGDMGate2u0rJE4cTwmtaS6Vbzu5PT4ITf8HxLZC4BY7/Ya1PbIOMJKsr39Hfc54vsDSEnglNYTXP2a5h3aFSVz4REZFCoaAkYqPISKvb3f33w2OPWQM9fPopfPYZ3HabtU98lF/I2QEfzuVKh5N/nw1QiVut1ye2Q3ICpBy2lsO/5Tynf8mzoalEVQitCiWqWOuQStaw6CIiIpIvFJREvECNGvD119Yw4s89BzNnwvTpMH26P61btyAmBlq2tLtKyRcOvzPd7q4Aerm/l3bybGg6ud1aZ24n7YG0Y7k/CwWAASHlcYZUoUmKP47NqyCsuvU8VEglKFHRGnRCRERE8kRBScSLNGsG33wDGzZYgemrr0xWrIilVSvo3h2eflqBqUjzD7VGzYtslPO99NNnJsnNDE9xcCruzOS5cdaAEkl7cCTtoRLAHwtzniMo6kxoqnxOgDrzOqSS1e1PXftEREQABSURr9SwIXzxBaxfn87DDyewZEkFvv/e4PvvrdHxnn4a2rWzu0opVH7BULKetWRnmpB8AE7tIP34Nv5aO4faFQJxJO+BU7vg1E7ruajk/dZyZFXu13CGnAlQFa35ooKircl6g6LObMdYi3+EApWIiBR5CkoiXqxuXRg5ci1vvRXNf/7jzyefwJw51nLttfDMM9C+/cXPI0WcYUBwFARHYUY0ZdumMGo274rD39963zStEfhO7YKkXWfD07nbyQlWmEr801ouxBkEwbFnwlTM2QCV9TramkMqqCw4/Av++4uIiBQABSURH1CzJkyaZN1JevFFmDwZFiywlquusgZ9uOEGcGhqHsmNYVjd6gJLQ6kmuR+TkWI9B5UZnpIT4HTCmbtQCWcm2k2wnpPKSD7TDfCfi1/bvyQElbNCU2DmuqxVS0ApawksBYFlrP0BJTXHlIiIeAUFJREfUq0avPcePPUUvPQSfPABLFliLdWrwwMPwF13QcmSdlcqPscZaA3+EFb9wseln4bk+DPBad+Z9TlLcrwVrlIOgemyglXaMWuo9LwwHBBQ2gpOQWXPBKhzl2z7AkqCX5g1TLuIiEg+UlAS8UGVKsGbb8KTT8Krr8KHH8Lff8OoUVaI6t8fhg+H+vXtrlSKHL9gCK1mLRdiuiDlCKQctJbkA2fXyQetroCpR6xjUg9bwSot8cznznwmcUve63KGgH84+IdZa7+wbNsevKfQJSIiKCiJ+LTy5eG//4Vx46y5l15/HTZtgnfftZYOHeDBB+HGG8FPf9ulMBkOCCpjLdTJ22cyUs+GppRDVqDK3M5aDrq/70o589mkMwNWJFx+7c7gSwtY/rmFLv3FExHxVfoXXKQIKFEC7r0X7rkHFi+GN96w5mJatMhaKlSwuuQNGmR13xPxSs6As4NC5FVGCqSdgPREa512Zp1+znZa4nleZ3vPlXrmnKethf358J2CreB0brDyC3cPVee+5wyxJivOdV3C2nYEatRBEZFCoKAkUoQYhnUXqUMH2L0b3n4b3n8f9uyBZ5+1lg4dYMAAuPlmCA+3uWCRy+UMtBbKXP65skJXLiEqt9cXei/rTldm6Dpw+fVlMc6Ep+BcAlUQOIKsddaSS9g6Z59BACUz/oLjlSAowjqv48zP1RGou2IiUmzpXz+RIqpiRXj+eWsI8W+/hY8+gnnzzt5leuAB6NXLCk3XX6+ueSL5G7pSzx+4LhSwMk5D+pluhNnXmXe8MCH9lLXkAz+gPcDc8xxgON2D0/nWjoAz29mDWtCZUJctxDkCrbuIjgAw/D3f1rNkIlLA9KuRSBEXFAS3324tu3ZZzzJ9/DH8+Sd8/rm1REVB375WaGrUyO6KRYoAZwA4zwzJnl9c6WeC1KkLBKpkcCVb64zks3e0so45ZW1nniMjCTPtFKdPHiY4AIzM82Ceva6ZcfYZMG9iOKzQdL7FGXhOIDsTzgx/a24vhz8Yfme3Hf7u7533td9Fjg04z9r/nIDnr66TIj5CQUmkGKlUCZ54Ah5/HNassQLT55/D/v0wYYK1NGhghaqbb4bate2uWESyOPzAcWbQiHyUnpbGvNmz6dq1K/6ZkxS70s+ErhSrS2LWOvnMOjWX985dJ7svruTc97lSwZV2Zp1q3YlzpYKZduZcada2K9UaEfFcpuvsuXxNVkjLHvCy7ct+N804N+T5ua+zznnu69zWuR3jzLltOM/znhMyXJRwxVtzqQUEAQ4ruBrOnGty26+50sQ3KCiJFEOGAc2bW8srr8BPP1mh6bvvYONGa3nqKahXzwpMt9xiDTWu/wkqUkw4/MARCoTaXclZroyzoSm3cJW1nAlybqHtTMhzpbkv5sVep3twbNo5dZ2zNtNzfhczHTLO3CH0Qf7A9QA/XsZJcgQpp4fh7zyBMfv+8x7rf54gme2uoeE88x+/zIBnuK9z23eh93I93nHONc65ltu2g5yB9NyfYW6v9R/ty6WgJFLM+ftDjx7WcvQozJgBX38N8+fD5s3W8u9/Q82aVmjq0QNatQKnHg8QkcLkcAJOqwudLzFN9ztjuYUpt6B3gdcZqVZXSDP9TIhLPxvm3F6n5/0YV9qZc2acsz/zGhnnnOvs+6bpIj0tFT+ngYHrzHtn1ud227zgz8WV8y6h5DPjPAHKmS18nS945dNxZ/Y7gspzJmL7DAUlEckSGQlDhljLsWMwa5YVmn76CbZtgxdftJbISOjUCbp0sZboaLsrFxHxUoZhdZsjAChhdzX5Ij0tjdnZu2tmMs0zAShbgMq+znr/zD63gHYmsGWGu/OGwLTzhMLcwuGZQJh1BzDjPJ9Jxe0uYVagM93Xue3j3O9+vveyHZN9ndt7mQHU0zCKefZnTNrl/aHnA0fYFSgoiUiRULIk9O9vLSdOwOzZ8M03MHeudedp+nRrAWjSBG64wVpat9YIeiIixZZhnLnb4MTqpCf5zjQ5G4Jc2cLnOa9zBNbs+y/huBzXyvtxGY4SsMm2n9ol0a8zInJRYWFnR85LT4eVK+HHH61lzRr4/Xdref55iIiAjh2t0NSpkzXZrYiIiOQTw+Ds802+w0xLg02z7S7DIwpKIuIRPz9o29Zann3WGjFvzhwrNM2dC0eOwFdfWQtA9epnJ8Ft396a30lERETE2ykoichliYqy5l8aMAAyMmDVKis0/fQTrF4Nf/9tLR9+aB1frdrZ4NSuHVStqoF5RERExPsoKIlIvnE6rWeUWreGcePg+HH49VdYtMha1qyBf/6xlo8+sj4TFWUd37YttGljDVkeHGzntxARERFRUBKRAhQRAV27WgtAYuLZ4LR4Maxda3Xd+/ZbawGra1/jxtCiBTRtCs2aWfM5BQTY9S1ERESkOFJQEpFCEx5+dnQ8gORk6y7T8uVnl/h4q8ve6tVnPxcQAA0aWKGpWTMrQDVoAIGB9nwPERERKfoUlETENkFB1nNK7dpZr00Tdu2CFSusALVmjXXX6dixs68z+ftDnTpQv777UrkyOHxrICARERHxQgpKIuI1DMMKOpUrW0ORgxWe4uLcg9OaNdboehs2WMu5QkOtrnqZwaluXahZEypVsp6hEhEREckLBSUR8WqGYY2UV60a3Hqrtc80YedO2LTp7LJxI/z5J5w8Cb/9Zi3nCgiwzlGrlhWcMpfq1aF8eU2SKyIiIu70q4GI+BzDgCpVrKV797P709Jg+3b38LR1qzU8eUqKFaT+/DPn+ZxOa36nqlXPnjdzqVoVYmN1N0pERKS4UVASkSIj87mlOnXO3n0Ca36nPXvgr79g27az623bYMcOK2Dt2GEtufHzs7runRueqlSxugiWLw8xMRrSXEREpKhRUBKRIs/pPPvsU8eO7u+5XNZIezt2WM9CZQamzGXnTkhPPzv/0/lERlp3nsqXt9aZy7mvo6PVxU9ERMRX6D/ZIlKsORxWmClf/uzoe+fKyIB9+3IGqLg4a4S+vXutYc6PHrWWzZvPfy3DsCbYzQxOUVFQrhyULWst526XLavhz0VEROykoCQicgGZzy9VrAhXXZXzfdOE48etwLRv39kl++v4eOvOVEKCtaxde/Frlyhh3akqVcpa8rIdGmrVJCIiIpdHQUlE5DIYBpQsaS316p3/OJcLDh50D1IHDlj7sq8PHbJC1alT1rJnjycV+eNw9KBUKcPjkBUZaY0OKCIiIgpKIiKFwuGwutpFRUGTJhc+1uWyJtk9etSaLypzfe52bvuOHLG6AbpcDg4dsgKXp0qUcA9QYWHWXarQUOu9zO28vA4J0WiBIiLiuxSURES8jMNx9i5P9eqefTYxMY2vv15A48bXcvKk/wVD1bnbx45ZXfYy72Lt3p0/3yU42ApQwcGXtgQFub8ODLTuemUu/v7ur7PvU1ATEZFLpaAkIlKEBAdDqVLJ1K9vBYa8crmsZ62yB6kTJ6xJfE+dstbZt3N7ffKkdT6A06etxS4OR94ClSfhy9N959vv52ctTmfua4fD6topIiL2UFASEREcDqu7XWQkVKt2eecyTWuC33NDVGZgutwlNdWa9yo1NeeSlmY923Uul8vqjpicfHnfyS5O5/mDVH6tDcPJ/v1N+OYbZ9ZduMz3c/uMw2EtmdvZ15f6Xl4/nxkgc1t7+t6lnEtEig8FJRERyVeGYXWZCwqCMmUK99oul3uQyi1UFca+vB6bkXHhUQozMqwlNbUgf2oOoFJBXqBIOV+wupzwldf3LrZk1ne5x1zsONN0cuBACyZNcuJ0Fvz1Cvv7XeiYzH2erC/lM950jfw6V3DwOSf0EQpKIiJSZDgc1nNMvjQHlct1NhClp+fcLuh1SkoGmzdvoUaNOoDzgsdn1upyuW/ndX0pn8n+WdO0ts+3vtB7mevLYZpWHcWbA4i1uwjxMVdc4eSll+yuwjMKSiIiIjbKvGPgyTNl+SktzcXs2X/TtesV+PsXj9EvTDN/AtflHnMpnz/fcu73utzjLnZMenoGmzZtpF69BjgczgK/XmF/v/Mdk7nPk/WlfMabrpGf56pQ4ZyT+gifCEpvvfUW//nPf4iPj6devXpMnDiRq3Kb+VFERETkIjK7UTkcdlfim6xwvZOuXesVm3Atly8tLYPZs+2uwjNe/0/E9OnTGTFiBGPGjOH333/nqquu4oYbbmDXrl12lyYiIiIiIkWU1welCRMmMGTIEO6++27q1KnDxIkTqVixIm+//bbdpYmIiIiISBHl1V3vUlNTWbNmDY8//rjb/k6dOrFs2bJcP5OSkkJKSkrW68TERADS0tJIS0sruGLzIPP6dtchvkNtRjylNiOeUpsRT6nNyKXwlnbjyfW9OigdOnSIjIwMoqKi3PZHRUWRkJCQ62deeOEFxo0bl2P/3LlzCQkJKZA6PTVv3jy7SxAfozYjnlKbEU+pzYin1GbkUtjdbpKSkvJ8rFcHpUyG4T7uummaOfZleuKJJxg1alTW68TERCpWrEinTp0IDw8v0DovJi0tjXnz5tGxY0f87RreSHyK2ox4Sm1GPKU2I55Sm5FL4S3tJrO3WV54dVAqU6YMTqczx92jAwcO5LjLlCkwMJDAXCbQ8Pf395q/zN5Ui/gGtRnxlNqMeEptRjylNiOXwu5248m1vXowh4CAAJo1a5bjFt28efNo27atTVWJiIiIiEhR59V3lABGjRpF//79ad68OW3atOG9995j165d3HfffXaXJiIiIiIiRZTXB6Xbb7+dw4cP8+9//5v4+Hjq16/P7NmzqVy5st2liYiIiIhIEeX1QQlg2LBhDBs2zO4yRERERESkmPDqZ5RERERERETsoKAkIiIiIiKSjYKSiIiIiIhINgpKIiIiIiIi2SgoiYiIiIiIZKOgJCIiIiIiko2CkoiIiIiISDYKSiIiIiIiItn4xISzl8M0TQASExNtrgTS0tJISkoiMTERf39/u8sRH6A2I55SmxFPqc2Ip9Rm5FJ4S7vJzASZGeFCinxQOnHiBAAVK1a0uRIREREREfEGJ06cICIi4oLHGGZe4pQPc7lc7Nu3j7CwMAzDsLWWxMREKlasyO7duwkPD7e1FvENajPiKbUZ8ZTajHhKbUYuhbe0G9M0OXHiBLGxsTgcF34KqcjfUXI4HFSoUMHuMtyEh4frHxbxiNqMeEptRjylNiOeUpuRS+EN7eZid5IyaTAHERERERGRbBSUREREREREslFQKkSBgYH861//IjAw0O5SxEeozYin1GbEU2oz4im1GbkUvthuivxgDiIiIiIiIp7SHSUREREREZFsFJRERERERESyUVASERERERHJRkFJREREREQkGwWlQvTWW29RtWpVgoKCaNasGUuWLLG7JLHBCy+8QIsWLQgLC6NcuXL06tWLrVu3uh1jmiZjx44lNjaW4OBgOnTowObNm92OSUlJ4cEHH6RMmTKUKFGCG2+8kT179hTmVxGbvPDCCxiGwYgRI7L2qc1Idnv37qVfv36ULl2akJAQGjduzJo1a7LeV5uRc6Wnp/PUU09RtWpVgoODqVatGv/+979xuVxZx6jNFG+//PILPXr0IDY2FsMwmDlzptv7+dU+jh49Sv/+/YmIiCAiIoL+/ftz7NixAv5252FKoZg2bZrp7+9vvv/+++Yff/xhPvzww2aJEiXMnTt32l2aFLLOnTubkyZNMjdt2mSuW7fO7Natm1mpUiXz5MmTWce8+OKLZlhYmPn111+bGzduNG+//XYzJibGTExMzDrmvvvuM8uXL2/OmzfPXLt2rXnNNdeYjRo1MtPT0+34WlJIVq5caVapUsVs2LCh+fDDD2ftV5uRcx05csSsXLmyOWjQIPO3334z4+LizPnz55vbt2/POkZtRs713HPPmaVLlza///57My4uzvzyyy/N0NBQc+LEiVnHqM0Ub7NnzzbHjBljfv311yZgfvPNN27v51f76NKli1m/fn1z2bJl5rJly8z69eub3bt3L6yv6UZBqZC0bNnSvO+++9z21a5d23z88cdtqki8xYEDB0zAXLx4sWmapulyuczo6GjzxRdfzDomOTnZjIiIMN955x3TNE3z2LFjpr+/vzlt2rSsY/bu3Ws6HA7zp59+KtwvIIXmxIkTZs2aNc158+aZ7du3zwpKajOS3WOPPWZeeeWV531fbUay69atmzl48GC3fb179zb79etnmqbajLjLHpTyq3388ccfJmCuWLEi65jly5ebgPnnn38W8LfKSV3vCkFqaipr1qyhU6dObvs7derEsmXLbKpKvMXx48cBKFWqFABxcXEkJCS4tZfAwEDat2+f1V7WrFlDWlqa2zGxsbHUr19fbaoIe+CBB+jWrRvXX3+92361Gcnuu+++o3nz5tx6662UK1eOJk2a8P7772e9rzYj2V155ZX8/PPP/PXXXwCsX7+epUuX0rVrV0BtRi4sv9rH8uXLiYiIoFWrVlnHtG7dmoiICFvakF+hX7EYOnToEBkZGURFRbntj4qKIiEhwaaqxBuYpsmoUaO48sorqV+/PkBWm8itvezcuTPrmICAACIjI3McozZVNE2bNo21a9eyatWqHO+pzUh2//zzD2+//TajRo3iySefZOXKlTz00EMEBgYyYMAAtRnJ4bHHHuP48ePUrl0bp9NJRkYG48eP58477wT074xcWH61j4SEBMqVK5fj/OXKlbOlDSkoFSLDMNxem6aZY58UL8OHD2fDhg0sXbo0x3uX0l7Upoqm3bt38/DDDzN37lyCgoLOe5zajGRyuVw0b96c559/HoAmTZqwefNm3n77bQYMGJB1nNqMZJo+fTqffvopU6dOpV69eqxbt44RI0YQGxvLwIEDs45Tm5ELyY/2kdvxdrUhdb0rBGXKlMHpdOZIwgcOHMiRvKX4ePDBB/nuu+9YuHAhFSpUyNofHR0NcMH2Eh0dTWpqKkePHj3vMVJ0rFmzhgMHDtCsWTP8/Pzw8/Nj8eLFvPbaa/j5+WX9mavNSKaYmBjq1q3rtq9OnTrs2rUL0L8zktP//d//8fjjj3PHHXfQoEED+vfvz8iRI3nhhRcAtRm5sPxqH9HR0ezfvz/H+Q8ePGhLG1JQKgQBAQE0a9aMefPmue2fN28ebdu2takqsYtpmgwfPpwZM2awYMECqlat6vZ+1apViY6OdmsvqampLF68OKu9NGvWDH9/f7dj4uPj2bRpk9pUEXTdddexceNG1q1bl7U0b96cvn37sm7dOqpVq6Y2I27atWuXY9qBv/76i8qVKwP6d0ZySkpKwuFw/7XQ6XRmDQ+uNiMXkl/to02bNhw/fpyVK1dmHfPbb79x/Phxe9pQoQ8fUUxlDg/+4Ycfmn/88Yc5YsQIs0SJEuaOHTvsLk0K2f33329GRESYixYtMuPj47OWpKSkrGNefPFFMyIiwpwxY4a5ceNG884778x1iM0KFSqY8+fPN9euXWtee+21GoK1GDl31DvTVJsRdytXrjT9/PzM8ePHm9u2bTM/++wzMyQkxPz000+zjlGbkXMNHDjQLF++fNbw4DNmzDDLlCljPvroo1nHqM0UbydOnDB///138/fffzcBc8KECebvv/+eNdVNfrWPLl26mA0bNjSXL19uLl++3GzQoIGGBy8O3nzzTbNy5cpmQECA2bRp06zhoKV4AXJdJk2alHWMy+Uy//Wvf5nR0dFmYGCgefXVV5sbN250O8/p06fN4cOHm6VKlTKDg4PN7t27m7t27SrkbyN2yR6U1GYku1mzZpn169c3AwMDzdq1a5vvvfee2/tqM3KuxMRE8+GHHzYrVapkBgUFmdWqVTPHjBljpqSkZB2jNlO8LVy4MNffXwYOHGiaZv61j8OHD5t9+/Y1w8LCzLCwMLNv377m0aNHC+lbujNM0zQL/z6WiIiIiIiI99IzSiIiIiIiItkoKImIiIiIiGSjoCQiIiIiIpKNgpKIiIiIiEg2CkoiIiIiIiLZKCiJiIiIiIhko6AkIiIiIiKSjYKSiIiIiIhINgpKIiIiZ1SpUoWJEyfaXYaIiHgBBSUREbHFoEGD6NWrFwAdOnRgxIgRhXbtyZMnU7JkyRz7V61axb333ltodYiIiPfys7sAERGR/JKamkpAQMAlf75s2bL5WI2IiPgy3VESERFbDRo0iMWLF/O///0PwzAwDIMdO3YA8Mcff9C1a1dCQ0OJioqif//+HDp0KOuzHTp0YPjw4YwaNYoyZcrQsWNHACZMmECDBg0oUaIEFStWZNiwYZw8eRKARYsWcdddd3H8+PGs640dOxbI2fVu165d9OzZk9DQUMLDw7ntttvYv39/1vtjx46lcePGfPLJJ1SpUoWIiAjuuOMOTpw4UbA/NBERKXAKSiIiYqv//e9/tGnThnvuuYf4+Hji4+OpWLEi8fHxtG/fnsaNG7N69Wp++ukn9u/fz2233eb2+SlTpuDn58evv/7Ku+++C4DD4eC1115j06ZNTJkyhQULFvDoo48C0LZtWyZOnEh4eHjW9UaPHp2jLtM06dWrF0eOHGHx4sXMmzePv//+m9tvv93tuL///puZM2fy/fff8/3337N48WJefPHFAvppiYhIYVHXOxERsVVERAQBAQGEhIQQHR2dtf/tt9+madOmPP/881n7PvroIypWrMhff/1FrVq1AKhRowYvv/yy2znPfd6patWqPPvss9x///289dZbBAQEEBERgWEYbtfLbv78+WzYsIG4uDgqVqwIwCeffEK9evVYtWoVLVq0AMDlcjF58mTCwsIA6N+/Pz///DPjx4+/vB+MiIjYSneURETEK61Zs4aFCxcSGhqatdSuXRuw7uJkat68eY7PLly4kI4dO1K+fHnCwsIYMGAAhw8f5tSpU3m+/pYtW6hYsWJWSAKoW7cuJUuWZMuWLVn7qlSpkhWSAGJiYjhw4IBH31VERLyP7iiJiIhXcrlc9OjRg5deeinHezExMVnbJUqUcHtv586ddO3alfvuu49nn32WUqVKsXTpUoYMGUJaWlqer2+aJoZhXHS/v7+/2/uGYeByufJ8HRER8U4KSiIiYruAgAAyMjLc9jVt2pSvv/6aKlWq4OeX9/9crV69mvT0dF555RUcDqvjxBdffHHR62VXt25ddu3axe7du7PuKv3xxx8cP36cOnXq5LkeERHxTep6JyIitqtSpQq//fYbO3bs4NChQ7hcLh544AGOHDnCnXfeycqVK/nnn3+YO3cugwcPvmDIqV69Ounp6bz++uv8888/fPLJJ7zzzjs5rnfy5El+/vlnDh06RFJSUo7zXH/99TRs2JC+ffuydu1aVq5cyYABA2jfvn2u3f1ERKRoUVASERHbjR49GqfTSd26dSlbtiy7du0iNjaWX3/9lYyMDDp37kz9+vV5+OGHiYiIyLpTlJvGjRszYcIEXnrpJerXr89nn33GCy+84HZM27Ztue+++7j99tspW7ZsjsEgwOpCN3PmTCIjI7n66qu5/vrrqVatGtOnT8/37y8iIt7HME3TtLsIERERERERb6I7SiIiIiIiItkoKImIiIiIiGSjoCQiIiIiIpKNgpKIiIiIiEg2CkoiIiIiIiLZKCiJiIiIiIhko6AkIiIiIiKSjYKSiIiIiIhINgpKIiIiIiIi2SgoiYiIiIiIZKOgJCIiIiIiks3/A9XTgCJ7fKcPAAAAAElFTkSuQmCC", + "image/png": 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", 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" ] @@ -601,20 +786,20 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Final Training RMSE: 0.4106782777280611\n", - "Final Validation RMSE: 1.706909937069329\n" + "Final Training RMSE: 0.2690606507832273\n", + "Final Validation RMSE: 2.334205454026432\n" ] }, { "data": { - "image/png": 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", + "image/png": 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" ] @@ -655,7 +840,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -685,19 +870,19 @@ " \n", " \n", " MSE\n", - " 2.913542\n", + " 5.448515\n", " \n", " \n", " MAE\n", - " 0.893629\n", + " 1.116134\n", " \n", " \n", " RMSE\n", - " 1.706910\n", + " 2.334205\n", " \n", " \n", " R2 Score\n", - " 0.907509\n", + " 0.829029\n", " \n", " \n", "\n", @@ -705,13 +890,13 @@ ], "text/plain": [ " Score\n", - "MSE 2.913542\n", - "MAE 0.893629\n", - "RMSE 1.706910\n", - "R2 Score 0.907509" + "MSE 5.448515\n", + "MAE 1.116134\n", + "RMSE 2.334205\n", + "R2 Score 0.829029" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -743,7 +928,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -764,7 +949,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -785,7 +970,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -797,48 +982,48 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 9.1927263\ttotal: 27.2ms\tremaining: 27.2s\n", - "200:\tlearn: 1.8023540\ttotal: 5.96s\tremaining: 23.7s\n", - "400:\tlearn: 0.6209110\ttotal: 15.7s\tremaining: 23.5s\n", - "600:\tlearn: 0.4269301\ttotal: 27.9s\tremaining: 18.5s\n", - "800:\tlearn: 0.3636209\ttotal: 34.1s\tremaining: 8.46s\n", - "999:\tlearn: 0.3239213\ttotal: 45.2s\tremaining: 0us\n", - "0:\tlearn: 10.1498267\ttotal: 54.1ms\tremaining: 54.1s\n", - "200:\tlearn: 1.8413201\ttotal: 12.1s\tremaining: 48.1s\n", - "400:\tlearn: 0.5739607\ttotal: 18.5s\tremaining: 27.6s\n", - "600:\tlearn: 0.3855343\ttotal: 28.4s\tremaining: 18.8s\n", - "800:\tlearn: 0.3321234\ttotal: 40.9s\tremaining: 10.2s\n", - "999:\tlearn: 0.3056851\ttotal: 47.8s\tremaining: 0us\n", - "0:\tlearn: 12.0823549\ttotal: 31ms\tremaining: 31s\n", - "200:\tlearn: 2.0424293\ttotal: 16.1s\tremaining: 1m 4s\n", - "400:\tlearn: 0.5614638\ttotal: 27.2s\tremaining: 40.7s\n", - "600:\tlearn: 0.3540443\ttotal: 37.5s\tremaining: 24.9s\n", - "800:\tlearn: 0.3048528\ttotal: 53s\tremaining: 13.2s\n", - "999:\tlearn: 0.2854924\ttotal: 1m 3s\tremaining: 0us\n", - "0:\tlearn: 13.6327729\ttotal: 32.6ms\tremaining: 32.6s\n", - "200:\tlearn: 2.2277348\ttotal: 16s\tremaining: 1m 3s\n", - "400:\tlearn: 0.5878309\ttotal: 32.2s\tremaining: 48s\n", - "600:\tlearn: 0.3565726\ttotal: 42.3s\tremaining: 28.1s\n", - "800:\tlearn: 0.3067813\ttotal: 58.2s\tremaining: 14.5s\n", - "999:\tlearn: 0.2882435\ttotal: 1m 9s\tremaining: 0us\n", - "0:\tlearn: 14.5619725\ttotal: 36ms\tremaining: 36s\n", - "200:\tlearn: 2.3283745\ttotal: 12s\tremaining: 47.7s\n", - "400:\tlearn: 0.6073001\ttotal: 27.8s\tremaining: 41.6s\n", - "600:\tlearn: 0.3486209\ttotal: 37.7s\tremaining: 25s\n", - "800:\tlearn: 0.2916105\ttotal: 54.1s\tremaining: 13.5s\n", - "999:\tlearn: 0.2717463\ttotal: 1m 10s\tremaining: 0us\n" + "0:\tlearn: 9.1646718\ttotal: 29.5ms\tremaining: 29.4s\n", + "200:\tlearn: 1.8381351\ttotal: 6.45s\tremaining: 25.7s\n", + "400:\tlearn: 0.6192440\ttotal: 12.9s\tremaining: 19.3s\n", + "600:\tlearn: 0.4141800\ttotal: 19.9s\tremaining: 13.2s\n", + "800:\tlearn: 0.3521180\ttotal: 27.1s\tremaining: 6.74s\n", + "999:\tlearn: 0.3155382\ttotal: 35.7s\tremaining: 0us\n", + "0:\tlearn: 9.8938338\ttotal: 41.5ms\tremaining: 41.4s\n", + "200:\tlearn: 1.8182014\ttotal: 7.76s\tremaining: 30.8s\n", + "400:\tlearn: 0.5997486\ttotal: 15s\tremaining: 22.4s\n", + "600:\tlearn: 0.4063431\ttotal: 22.2s\tremaining: 14.7s\n", + "800:\tlearn: 0.3487810\ttotal: 30.2s\tremaining: 7.51s\n", + "999:\tlearn: 0.3168919\ttotal: 38s\tremaining: 0us\n", + "0:\tlearn: 11.9438216\ttotal: 34.6ms\tremaining: 34.6s\n", + "200:\tlearn: 2.0373408\ttotal: 8.97s\tremaining: 35.7s\n", + "400:\tlearn: 0.5734042\ttotal: 18.7s\tremaining: 27.9s\n", + "600:\tlearn: 0.3694254\ttotal: 28.3s\tremaining: 18.8s\n", + "800:\tlearn: 0.3167774\ttotal: 37.7s\tremaining: 9.38s\n", + "999:\tlearn: 0.2925512\ttotal: 47.9s\tremaining: 0us\n", + "0:\tlearn: 13.7420148\ttotal: 47.3ms\tremaining: 47.2s\n", + "200:\tlearn: 2.2489494\ttotal: 11.4s\tremaining: 45.2s\n", + "400:\tlearn: 0.5929080\ttotal: 23s\tremaining: 34.3s\n", + "600:\tlearn: 0.3608850\ttotal: 33.3s\tremaining: 22.1s\n", + "800:\tlearn: 0.3051274\ttotal: 44s\tremaining: 10.9s\n", + "999:\tlearn: 0.2856118\ttotal: 55.1s\tremaining: 0us\n", + "0:\tlearn: 14.7940073\ttotal: 55.6ms\tremaining: 55.6s\n", + "200:\tlearn: 2.3902581\ttotal: 11s\tremaining: 43.8s\n", + "400:\tlearn: 0.6209255\ttotal: 22s\tremaining: 32.9s\n", + "600:\tlearn: 0.3622676\ttotal: 33.4s\tremaining: 22.2s\n", + "800:\tlearn: 0.3017520\ttotal: 46s\tremaining: 11.4s\n", + "999:\tlearn: 0.2791322\ttotal: 58.3s\tremaining: 0us\n" ] }, { "data": { - "image/png": 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", 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kyHhpdsxBs87eZO30P+px48aZjLW3Aa+ndmh7NePnnOXdtGmTSzuVBgP6w0AvGrDometaHqL95HiPNEOu2Tm9aEZXT+bSftKsYv369c97rxw/ZjQY14yjjvWsJ3RpIKbBjfOPHf2xoSeV6Q8M5xKDvEz0oK9Lx2DVfcA5y6sBuzN9L3Q5DdidJxpwHIFwlptMn24/67Y89XtB0FIRtXfvXnOt+60Go5rx1aDeU5uVttt5n9X3WX+4ZPc5ddDtaGmF7kM59Zc3+5u7H8K6jazlB57oe68Bvwb/mkF2/oGVE92GttGRnQYKAyUNQJDRQFYP2+t/cu7qZR3lCHpY2lGy4LjkRDOQSgMw5cgWOWfL9FC1ZhOzBj9ZM2qO4MBR1qDZQD1Mr0OuuQu0HcGZtlPPaNfRKZzXqcOZeUMznJphfPvttzPPbHemQYie0Z8TrZ3V9uooEs40s60BiZ6lrtwNGZf1tTsP0+XIKOohcn19+h7qYfis75XzUE/6w0GX01Eu9P11LmdwvE9Z+1/7z1EWkRv6uvX9cB56TteTdfYxd/uGp/dJg33lTQCu29cjDFpf66AlHTr6g2a8systyA0NDt1lgfXohXN5wi233GKCNx0RIWvW2vF8fb/0PX3llVdc1qkjnujnRY+W5EQ/H1qnryN6ZKUlK44abm/2t+w+Gzp8oLd0P9NSHx0JJjc0I6wjuzifowAUNDK8QJDRYFeDER12S4cY0syLlgPs3LnTHOLUDGrWIM0dncFLs4CO/0Q1i7t8+XKzPkdZgA65pP+Ra9ZUgy3N+ul/yJpddmTAlA4bpYfodcgozSJpVlSX07ZqAOOo89V1aPb1l19+MevWwFYzgpq11JPlNJOpr0UDUl1OD+fr83XYMj15xttDpJoN1fVrFlXbrpkwDbp0W5px1rY7j8Xrjj5Pyww0c6Y1s/ojQA8Zay2tlg44Mu0aCOkhZg1qNNOndY/aFxooOE680rZoRtYxFfDGjRvNe6TP8ebkOu07XZ9uW7Pj+rqcaT9piYsGGBoQarCo2Wkd0iu39HVrO7WWW1+3rk/rXLPW5Op7q4fA9WQvDca1LlX7x10GUU9MVNqXun/p+67bcQTCznS7OoSZ/qDQEwb1ULzuX7peLQXx1axsWgaitai6z+r+rj+EtDxDywM0sHaUA+mJW9pu/aGmRwy07zXrricgao237qe6z2qmXrPd+mNLT4TTbK/uB1omoSei5kQ/z5pJ1aHgNBjX90B/aGhmW+/XMiHNPnuzv3mitfW6n+hJZ95kX/V90hptLVnR0gl9bTnRfUG/R3ToQqBQFcjYDwDyPSyZDtXkzQxoOgyUuyG/dHkdHkyHIouJibFdcskltl69etl+/vnnXA9LpkMq1apVywxLlnVYps8++8xWr149sw0dFmr8+PFmyCLnYabWr19vhs6qWrWqGUarfPnytg4dOrhty5tvvmlr2LChGfKoRIkStrp165ohofbs2ZO5jA7tNGbMGFuFChXMci1atLD9/vvvXs+05hgya8KECbarr77aVrx4cfMaa9SoYXvooYdcZprS9elsUe7ocFiDBw+2VaxY0RYVFWWer++b83BpS5cuNcOO6TK6Db3Wvvj7778zl3njjTds119/va1MmTKmf/S9evTRR23Hjx+3eUuX1z7v0qXLeY/pEGy9e/e2lS1b1rxW3S82bdp0Xn95MyyZOnz4sK179+62kiVLmv1Lb2/YsOG8Ycl27dplhuvSYfJ0udtvv928j7qcDnXl7JlnnjEz+enQW877jrv3dOvWrWb4N12v7neNGjWyffHFF159XrydEW7RokW2e+65x+z3jv2jevXqZv9wN9Oa7vNXXHGFef90JjEdXmzJkiUuy+gwZLo+3Vfi4+NtDzzwwHnD4+nzPA1Rp589/Xzp447t6GdFPwuOfcWb/c0THb5N9xF9L7yZaU3pdvW91XZ7Q/tV16XDuQGFKUz/KdwQGwAA+CPNVGtJkh7t8HSCW35oCYiW/OhkJUBhIuAFAACGliXpiXVai561Fjy/tFRHR3bQkqWcZq8DfI2AFwAAAEGNURoAAAAQ1Ah4AQAAENQIeAEAABDUCHgBAAAQ1Jh4wg2dLWfPnj1mwPfcTHkJAACAwqHjLuhERjrJS06TzhDwuqHBbpUqVaxuBgAAAHLw77//mtkEs0PA64ZjKk/tQJ0es6DpVIs65aZjKlWcQ9+4R794Rt+4R7+4R794Rt+4R7/4T9+cOHHCJCi9mYKdgNcNRxmDBruFFfAWLVrUbIsPjyv6xj36xTP6xj36xT36xTP6xj36xf/6xpvyU05aAwAAQFAj4AUAAEBQI+AFAABAUCPgBQAAQFAj4AUAAEBQI+AFAABAUCPgBQAAQFAj4AUAAEBQI+AFAABAUCPgBQAAQFAj4AUAAEBQI+AFAABAUCPgBQAAQFCLtLoBcHLmjEhqqtWt8C9pafZr+sYV/eIZfeMe/eIe/eIZfeMe/ZJz3/ghAl5/kJJiv161SiQszOrW+BebzX5N37iiXzyjb9yjX9yjXzyjb9yjX3LuG41roqLEnxDw+oP0dPt1dLRITIzVrfEvGRkiR46IFC8uEk4FTib6xTP6xj36xT36xTP6xj36xbOkJHuw64hr/AgBrz8h4HX/xaK0X/hiOYd+8Yy+cY9+cY9+8Yy+cY9+yblv/BDvFAAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAgpqlAe+KFSukY8eOUrFiRQkLC5MFCxbk+Jxly5bJlVdeKUWKFJHq1avLu+++e94yU6dOlYsuukhiYmKkcePGsnbt2gJ6BQAAAPB3lga8p06dkvr165sA1Rvbt2+X9u3bS8uWLeWXX36RQYMGSZ8+feSrr77KXGbOnDkyZMgQGT16tKxfv96sv02bNnLgwIECfCUAAADwV5FWbrxt27bm4q1p06ZJtWrV5KWXXjJ/X3bZZfL999/Lyy+/bIJaNXHiROnbt6/07t078zlffvmlTJ8+XUaMGFFArwQAAAD+ytKAN7dWr14tN910k8t9GuhqplelpKTIunXrZOTIkZmPh4eHm+focz1JTk42F4cTJ06Y69TUVHMpaKlpafZrm00kI6PAtxdIUs/2h+MadvSLZ/SNe/SLe/SLZ/SNe/SLZyaOccQ1hRE/5WIbARXw7tu3T+Lj413u0781QD1z5owcPXpU0tPT3S6zadMmj+sdN26cjBkz5rz7v/76aylatKgUliVHj4roBedZsm+f1U3wS/SLZ/SNe/SLe/SLZ/SNe/SLZ0tWrpTCcPr06eAMeAuKZoS17tdBA+gqVapI69atpWTJkgW+/dSTJ83O0ap0aYmKjS3w7QUS/QWtXyqtEhIkKpxBRRzoF8/om/Olp4ssW19Mlmw9La0uKSotrjwlERFWt8o/sL94Rt+4R794lnrmjEnetWrWTKJKlJCC5jgiH3QBb0JCguzfv9/lPv1bg9LY2FiJiIgwF3fL6HM90REf9JJVVFSUuRS4SPvbEBUWxofHA+0X+uZ89Itn9I3d/G/jZOCEKrLrQLT5e6KIVC6fIpOH/iu33XDM6ub5DfYXz+gb9+gXN8LCzFVUZGShxE+52UZAvVNNmjSRpUuXuty3ZMkSc7+Kjo6Whg0buiyTkZFh/nYsAwChFOx2Hnax7Drg+p/C7gNR5n59HABCgaUZ3sTERNmyZYvLsGM63NgFF1wgVatWNaUGu3fvllmzZpnH+/XrJ1OmTJFhw4bJPffcI99++63MnTvXjMLgoKUJPXv2lKuuukoaNWokkyZNMsOfOUZtAIBgl5IaJnsPRsoDz1cV+ykk9qyLg838bZP7x1aVEsXSpVSxdClRLENKFNXrdCkem0HJA4CgYmnA+/PPP5sxdR0cdbQasOqEEnv37pWdO3dmPq5DkmlwO3jwYJk8ebJUrlxZ3n777cwhyVTXrl3l4MGD8uSTT5qT3Bo0aCCLFy8+70Q2AAgkekL4kRMRsu9QlOw77HyJPHf77GOHj3vz1R4mh45FSev+Nd0+GlskwwS/JggumiHFz17b77MHx8XPXru/jwAagP+wNOBt0aKF2M4OYeGOu1nU9DkbNmzIdr0DBgwwFwDwZ/r1l3g63DV49RDQHjgSJWnprpna7ISH2STDlvPyWs8bEWGTk6cj5OSpcElNs1e6nUkONxfdri8QQAOwUkCdtAYAgVJSsN858+qciXUJaCPldFLuIreycamSUCZNEsrodaoklD177XxfmVT5dXOs3PjApTmub/bT26XFVYmZfyenhMnJ0+Fy8lSEJJ6xXzuCYb3WAN38fXYZ9/eFS+KZwgugM4NipwA6M6B2CqBd77NfF4lJM6NYAAhuBLwA4GVJgZYKZJeFdVyOeFVScI4GZM7Batbg1R7Upkm50qkS5eWqm1+ZaLK3eoKavWbXVZjYpHJ8qjS74lywq4pE26RIdLqUjfNNFBgYAfSVElvkXBCcnwDa8dxAz0Drj4Dl60vIis2VpFiN4tKSoewQ4Ah4AYSs3JQU7D8SJem5KCmIiszwKhMbXyZNisX6fsYmDU506DEdjUGDW+egV/9Wkx75t8CDmMAJoCPMxdcZaC2/cC7lcL3PtUzD9b4MKR57LpAuzGCToewQjAh4AQSd1NQw+Xd/tBw+Eu3zkgLNsmaXhXX8XbpkumNISstocDLvhW0uwYvSzK4Gu4EYvPg6gE5Msskn2w5K4xIVJTk50vcZaJ+00rcBtF6fHf7d41B2Wc+ucQxlp/tTIO43AAEvgOAqKTgUJUdOXG15SYG/0OCkU/Nj8t36YrJoc6K05fD0eQF0yZIpUq1iikSFp/l/CYf4LoB2PXHQHiQvX1/c41B2emRg0EtVzP7E/oNAE2Bf3QCCraRA/1P35uSuA0cDq6TAn2hw0rzhSTlVYY80r1hRIpgdqsAETgmHPYA+eNT7tmjQq0dOVm4o7nKiIxAICHgB+Jz+J73/SM4nd+nj+p+ut8LCbFI2Li3bLGyZ0snyW+q/0qVmOYmOILBDYCvIANolOD4VLkvWlpQ355fLcR17DxX8lLGArxHwAgHGqrOntaTg0DFHwJp9MHv0hHWjFKRmZMiOPamW188CgRZA649JbwLeCmVTC6h1QMEh4AUCiK/PnqakAICDDlGXl6HsgEBAwAsEiNycPV2QJQXlStsD1vgL/H+UAgC+GcpOK3gLayg7oCAQ8AJ+TDOwSclhcvREhPQfX8Xj2dP6752PVZNqlZLNeLG5LSko6SgpKJt9WUG5uDSPwxkBCHyehrLT753u7Q8xJBkCFv91AQUQpJ5O0pNC7CeDnNCTQ06F269Pu94+ocucOrvM2ZNHTiTabzuW8a6MIEySU8Nk047YzHuio7SkIOdpaOPLpErRmKx5YwChKutQduEHK8mE2RXk6x9LmR/gMUX4vkDgIeAFzgapp3TIHw00TcAZ4XLbEbRm3nZ5zHGW87nbGRnWHMt/7N49ctfNR00gG1eCkgIA+R/KrlV5kblLLpCd+4rIjM/LyAOdD1ndPCDXCHgRsHTUAHuQei5T6i5rag9WXW9nzajq+Ja+DlK13tUxqLuWDGS9ba6dbxdNl5LF3T/2059F5cYHLs1xmzddfVIuq5bk09cBILRFRdrk0e775aEXq8oLsxKkzy2HAm4CFoBd1h+GmFoZIStWVJJiF0ZLy2tSg/qEAA1SHeM+enOo//ipcNl8uLK8klFUTp6KdDnUr+ux2XwfpNqDzXNBqHMAWvLsvPaOZZxvZy5/9nbRmAzx1fj+za/k7GkA1rm30yF55p0KsmNPEflw8QXSo8MRq5sE5AoBr4XmzxcZOFBk165iInJVvoeYKsig3DHDz/mH8z0f6nfNqDpmBfJ9NB8ebvOcNc0uo+omgNUg1R/LALI7e1r/Vpw9DaCgxMbYZMid+2XElMoy7t0EubvdEZ/9oAcKAwGvhcFu58722tGchpjKa5Ca06F+d4f93T126ozvo6iICEeQejbodD7s73Rov1jRNPkn9YhcU7G4XFDc5vawf2wRm18GqYV19rRmdjXY9acfSQCCzwOdD8rzMxPMybGffBcn/72R7xwEDgJeC2gwqpndrMGu0sydZux0CKryF6SaYNPdoX6PZ/ifzbieTvJ9kBqpQaoJNp2ypsXzdtg/xssgVWfNWrhnj7SrWFGiSCecd/Z020KcaQ1AaCtZPEMe6npAnnm7ooydkWC+j0Ih2YDgQMBrgZUrtYzB8+Ma9O47HC3N+tTK97Z0tqusGdS8HvbXKSn5cvOvs6ebV6woEfwQAFBIHr7jgLz0Xrys31RMvv6xpLRpcsLqJgFeIeC1wN693i1XrnSqVCyXeu6wv9Ph/OxOlnJeToNUAAB8oWxcuvT77yGZ+H68PDc9gYAXAYOA1wIVKni33Nxx26TFVZx1DwDwH0Pu2i9T5paTlRtKyMoNxRkdBgGBY6EWaNZMpHJlHQLL/eNaw1slPoUvEQCA36lUPlV6dThsbmstLxAICHitGmJqsv121qCXIaYAAP5ueM99ZkjIxT+UkvWbzk1pDvgrAl6L3HabyLx5IpUqud6vQ0zld0gyAAAK0sWVU6RbG/vkE2One1mnB1iIGl6Lg95OnUS+W3xKFn27UdqGwExrAIDgMLLXPnl/URmZ/12cbNwew7Tm8GtkeP1hiKlm6XL99bul+RXHCXYBAAGhziVJckuLo2aK9/Ez461uDpAtAl4AAJAno3rvM9fvLSojO/acmwES8DcEvAAAIE+urnNaWjU+IenpYfLibLK88F8EvAAAIM9G9bbPpvTOp2Vl7yFODYJ/IuAFAAB51rxholxbL1GSU8Ll5ffJ8sI/EfACAIA80/HkR91jz/K+/r9ycuQ4Z1/D/xDwAgCAfGnX9ITUr3laEk9HyKtzylvdHOA8BLwAACD/Wd6zIzZM/qi8nDxFeAH/wh4JAADy7b83HJWaVZPk6IlIeWN+OaubA7gg4AUAAPmmEyeN6GXP8r70XrwkJYdZ3SQgEwEvAADwibvaHpEq8Smy73CUzPi8jNXNATIR8AIAAJ+IjrLJsB72LO8LsxIkNc3qFgF2BLwAAMBn7u10SMpfkCo79hSRj766wOrmAAYBLwAA8JnYGJsMuXO/uT3u3QTJyLC6RQABLwAA8LEHOh+UUsXTZOP2WFmwLM7q5gAEvAAAwLdKFs+Qh7oeNLefm54gNpvVLUKoI+AFAAA+N7Dbfikaky7rNxWTr38saXVzEOIIeAEAgM+VjUuX+287lJnlBaxEwAsAAArEI3fvl+ioDFm5oYSs3FDc6uYghBHwAgCAAlGpfKr06nDY3B43gywvrEPACwAACsywnvskPNwmi34oJes3xVrdHIQoAl4AAFBgLqmcIt3aHDG3x82oYHVzEKIIeAEAQIEa0dM+3fD/vo2TjdtjrG4OQhABLwAAKFCXV0+SW1ocFZstTMbPjLe6OQhBBLwAAKDAjeptz/K+t6iM7NgTbXVzEGIIeAEAQIG7us5padX4hKSnh8mLs8nyonAR8AIAgEIxqvdec/3Op2Vl36FIq5uDEELACwAACkXzhonSpF6iJKeEy8T3yfKi8BDwAgCAQhEWJvLYPfYs7+v/KydHjkdY3SSECAJeAABQaNo1PSH1a56WxNMR8uqc8lY3ByGCgBcAABRqltcxYsPkj8rLyVOEIih47GUAAKBQ/feGo1KjapIcPREpb35S1urmIAQQ8AIAgEIVEXFu9rUJsxMkKTnM6iYhyBHwAgCAQnd3uyNSJT5F9h2Oknc/L2N1cxDkCHgBAEChi46yyaPd7Vne8bMSJDXN6hYhmBHwAgAAS/S55ZCUvyBVduwpIh99dYHVzUEQI+AFAACWiI2xyeA795vb495NkIwMq1uEYEXACwAALPNg54NSqniabNweKwuWxVndHAQpAl4AAGCZksUz5KGuB83tsTMSxGazukUIRgS8AADAUgO77ZeiMemybmMx+frHklY3B0Eo0uoG+LVTp+yDBWal98XEuC7nSXi4SGxs9sueOiURSUkiyckiRYueu1/v8/RTV6eqcW6Dr5ZVzu3NzbLa/uwKsHKzrLZX261dmJoqcuaMvS9zWFZSUkTS0z2vt0iRc+vR9aal+WbZ6Ohz+0pultXldHlPoqJEIiPPXzYjw77POPeLp2Vzs96cltW+1T72RJfT5XO7rO4Luk/4YlnHvqB039V+8kTfB30/vFlW+1n3CQfte18sm/XzmZtlc/m5P2+fyct6/fA7IsfPfXbLZv0sBct3hC+Wdbw2XTa7/vXBd0TZIiIP/ecfeXVuvEx8u4S0abC/4L4jcvO5d7esu+/fIPmOkPwue+aMvW+y3JftZ7lYMdf1ZrevZV02u/grKxvOc/z4cX0Xbcftb+f5l3btXJ9QtKj75fTSvLnrsmXLelw2vVYtm+3nn89dKlTwvN6LL3ZdVv/2tKyux3nZ2rU9LxsX57rslVd6XjYmxnXZpk09L6sX52VvvDH7ZVeuNMulrF1r+6dly+yXXbLk3Hpvvz37ZT/77Nyy3btnv+ycOeeW7ds3+2Vnzjy37MMPZ7/stGnnlh02LPtlJ006t+zo0dkv+/zz55bV29ktq+tyLKvbyG5ZbaNjWW17dsvqa3csq32S3bLap45lta+zW1bfK8ey+h5ms2xa5862BQsWmH3H7BvZrbdDh3Pr1X0uu2V1n3Xeh7NbVj8LzsvqZ8XTsvoZc15WP4OeltXPbh6/IzKqVQvK7whz0fcxu2X5jsjTd4R+hvSzlDpxYlB9R5h9wLEs3xE2X8cRSSVL2lKOHz8X92gc5Gm9Gj850/gqu35z1rmzidNMvOa8PQ8oaQAAAEBQC9Oo1+pG+JsTJ05IqVKl5PiePVKyZMkCL2lIPXFCvlqxQtqUKSNRpUufe4CSBknNyJDF//wjN5cvL1GUNGQuq/3y1d690qZChXP9QkmDkRoWJgsPHZJ2FStKlO4XlDQYqadPy1d79rjuM3lZr599R+S3pOG8z1KQfEf4YtnU8HBZuGePtNPv3wIuaXDYtjtK6nerIxm2MFn17mZpcHm635U0uP3+DYLvCPHBsuZ75uhRadO2rUQ54qcCLGk4cfSolKpYUY4fP+4+XvOnGt6pU6fKiy++KPv27ZP69evLq6++Ko0aNXK7bGpqqowbN05mzpwpu3fvlksvvVTGjx8vN998c+YyTz31lIwZM8blebrcpk2bct847Vjnzs1uudysM6v0dEnXHcl551fOO1dO/GHZrO330bIZ+iWm/xF6CnidOb6YvKHrdXxBWrWsfkk7/qPIzbIZGfZ9xlO/5HW9OdEvf+egxFfLZv1hmJ9lnb9Y9Uva2/XmZlnlD8vm8rOc7T6Tj/Va/R2Rq8991mWz+ywF8neEL5Z1fJZ0OW/7OJ/fERdXF/lPm2T5YHEZeW72hfLx+G2+/45wlpfviJy+fwP4OyLfy9pskp41IC/I9uYi/rK0pGHOnDkyZMgQGT16tKxfv94EvG3atJEDBw64Xf7xxx+XN954wwTFf/75p/Tr109uvfVW2bBhg8tyderUkb1792Zevv/++0J6RQAAID9G9rJPN/y/b+Nk045c/PAB/DXgnThxovTt21d69+4ttWvXlmnTpknRokVl+vTpbpefPXu2jBo1Stq1aycXX3yxPPDAA+b2Sy+95LJcZGSkJCQkZF7Kli1bSK8IAADkx+XVk6RT82Nis4XJ8+8mWN0cBAnLShpSUlJk3bp1MnLkyMz7wsPD5aabbpLVq1e7fU5ycrLEZEl3x8bGnpfB3bx5s1SsWNEs26RJE1MGUbVqVY9t0fXqxbmG11FCoZeClnq2litV62GYV9GF1ko5X8OOfvGMvnGPfnGPfvHPvhnWa498ujxO3ltURh7rs1suqphNXXAhY5/xzMQxjrimMOKnXGzDspPW9uzZI5UqVZIffvjBBKUOw4YNk+XLl8uaNWvOe86dd94pv/76qyxYsEAuueQSWbp0qXTq1EnS09MzA9ZFixZJYmKiqdvVcgat59V6399//11KlCjhti3u6n7VBx98YDLOAACgcI0e3UR+/bW8tG27Xe6///+sbg780OnTp01s6M1JawEV8B48eNCUQHz++ecSFhZmgl7NCGsJxBkPZy0eO3ZMLrzwQlM+ce+993qd4a1SpYocOnQoxw70hdSTJ2XJypXSqnRpicpNcXcI0F/QS/btk1YJCZ5HaQhB9Itn9I179It79Iv/9s3ydSWk1QO1pEh0hmxe8KsklM1mZIsQ6hd/lnrmjCw5elRaNWsmUR6SjL6k8ZqWrfr1KA3awIiICNm/f7/L/fq31t26U65cOZPdTUpKksOHD5uyhREjRph6Xk/i4uKkZs2asmXLFo/LFClSxFyyioqKMpcCd/ZMWR1CiQ+Pe9ov9M356BfP6Bv36Bf36Bf/65sbrzolTeolyur/Ky5TPqog4x/eLf6EfcaNs8P/RUVGFkr8lJttWPZORUdHS8OGDU1ZgkNGRob52znj647W5mp2OC0tTf73v/+ZsgZPtLxh69atUqFCBZ+2HwAAFGzsNKq3fcSG1+aVkyPHz45NDOSBpT9NdEiyt956y4yru3HjRjPqwqlTp8yoDapHjx4uJ7VpmcP8+fNl27ZtsnLlSjP+rgbJWgbhMHToUFMSsWPHDlMuocOWaSa5W7dulrxGAACQN+2vOy71apyWxNMRMmVueaubgwBm6cQTXbt2NXW5Tz75pJl4okGDBrJ48WKJj483j+/cudOM3OCgpQw6Fq8GvMWLFzdDkulQZVq24LBr1y4T3GrJg5ZAXHfddfLjjz+a2wAAIPCyvHeMulgmf1Rehty1X4oXZXQE5J7lM60NGDDAXNxZtmyZy9/Nmzc3E05k56OPPvJp+wAAgHU633hUalRNks07Y+SN+WXlkbvdT04FZIdqawAA4Ld0BuIRPe21vBNmJ0hSsv3EKCA3CHgBAIBfu7vdEakSnyL7DkfJu5+Xsbo5CEAEvAAAwK9FR9nk0e72LO/4WQlydoJSwGsEvAAAwO/de8shKVc6VXbsKSIffnWB1c1BgCHgBQAAfq9ojM2M0qDGvZsgGQzWgFwg4AUAAAHhgc4HpVTxNNm4PVYWLDs3JCmQEwJeAAAQEEoVz5CHuh40t8fOSBCbzeoWIVAQ8AIAgIAxsNt+KRqTLus2FpMla0pY3RwECAJeAAAQMMrGpct9tx4yt5+bXsHq5iBAEPACAICAMrT7fomKzJAV60vI978Us7o5CAAEvAAAIKBUKp8qvToeNrfHkuWFFwh4AQBAwBnec5+Eh9tk0Q+lZMOmWKubAz9HwAsAAALOJZVT5I7WR8ztsTPI8iJ7BLwAACAgjexln274f9/GyaYdRaxuDvwYAS8AAAhIl1dPkk7Nj4nNFibjZyZY3Rz4MQJeAAAQsEb13muu31tYRv7ZG211c+CnCHgBAEDAanT5abmp0QlJSw+TF2fFW90c+CkCXgAAENBG3WPP8r79aVnZdyjS6uYgWALerVu3yuOPPy7dunWTAwcOmPsWLVokf/zxh6/bBwAAkK0WDROlSb1ESU4Jl5c/IMsLHwS8y5cvl7p168qaNWtk/vz5kpiYaO7/9ddfZfTo0bldHQAAQL6EhWktr33EhtfmlZOjJyKsbhICPeAdMWKEPPvss7JkyRKJjj5XHH7DDTfIjz/+6Ov2AQAA5Kj9dcelXo3Tkng6Ql6dU97q5iDQA97ffvtNbr311vPuL1++vBw6dMhX7QIAAMhTlnfyR+Ul8TSnKeGcXO8NcXFxsnevvTjc2YYNG6RSpUq5XR0AAIBPdL7xqNSomiRHjkfKG/PLWt0cBHLAe8cdd8jw4cNl3759EhYWJhkZGbJq1SoZOnSo9OjRo2BaCQAAkIOICJERPe1Z3pfei5ek5DCrm4RADXjHjh0rtWrVkipVqpgT1mrXri3XX3+9XHvttWbkBgAAAKvc3e6IVIlPkb2HouXdz8tY3RwEYsBrs9lMZveVV16Rbdu2yRdffCHvvfeebNq0SWbPni0R+tMKAADAItFRNnm0uz3LO35WgqSlWd0i+IPI3Aa81atXN+Pt1qhRw2R5AQAA/Mm9txySZ96pIDv2FJGPvr7AZH0R2nKV4Q0PDzeB7uHDhwuuRQAAAPlQNMYmg++0T4w17t0EyciwukUIuBre559/Xh599FH5/fffC6ZFAAAA+fTg7QekVPE0+XNbrHy6PM7q5iDQAl4diWHt2rVSv359iY2NlQsuuMDlAgAAYLVSxTNkQJeD5vZz0xPEZrO6RQiYGl41adKkgmkJAACADw26c7+8/EF5WbexmCxZU0JaX3PS6iYhUALenj17FkxLAAAAfKhsXLrcd+shmfRhvDw3vQIBbwjLdcCr0tPTZcGCBbJx40bzd506deQ///kPw5IBAAC/8sjd+2Xqx+VkxfoS8v0vxeS6BqesbhICoYZ3y5Ytctlll5la3vnz55vL3XffbYLerVu3FkwrAQAA8qByfKr06mgfXWrcjApWNweBEvA+/PDDcskll8i///4r69evN5edO3dKtWrVzGMAAAD+ZFiP/RIebpOFq0rJhk2xVjcHgRDwLl++XF544QWXERnKlCljhivTxwAAAPxJ9SrJckfrI5nj8iL05DrgLVKkiJw8eX7Rd2JiokRHR/uqXQAAAD4zspd9uuF5S0vLph1FrG4O/D3g7dChg9x3332yZs0aM9WwXn788Ufp16+fOXENAADA31xePUk6NT8mNluYjJ9JljfU5DrgfeWVV0wNb5MmTSQmJsZcmjZtKtWrV5fJkycXTCsBAADyaWTvveb6vYVl5J+9HJUOJbkeliwuLk4+/fRTM1qDY1gyHbVBA14AAAB/1fjy03JjoxOydG1JeXFWvEwZ/q/VTYI/j8OrNMAlyAUAAIHksXv2moD37U/LyuP37pWEsmlWNwn+WNLw3//+V8aPH3/e/Tpyw+233+6rdgEAAPhci4aJck3dRElOCZeXP4i3ujnw14B3xYoV0q5du/Pub9u2rXkMAADAX4WFaZbXPmLDa/PKydETzBIbCnId8HoafiwqKkpOnDjhq3YBAAAUiPbXHZd6NU5L4ukIeXVOeaubA38MeOvWrStz5sw57/6PPvpIateu7at2AQAAFFiW1zEu7+SPykvi6VyHQwj2k9aeeOIJue2222Tr1q1yww03mPuWLl0qH374oXz88ccF0UYAAACfuv2mo/LEtCTZ8m+MvDm/rAy5+4DVTUIByvVPmo4dO8qCBQvMsGQPPvigPPLII7Jr1y755ptv5JZbbimYVgIAAPhQRITIiJ72LO+E9+IlKTnM6ibB34Yla9++vbkAAAAEqu7tj8hTb1WUXfujZeYXZeT+/x6yukkoIPkqWklKSpKZM2fKa6+9Jps3b/ZdqwAAAApYdJRNHu1uz/KOn5UgaQzJG7S8DniHDBkiDz30UObfKSkpcs0110jfvn1l1KhRcsUVV8jq1asLqp0AAAA+1+eWQ1KudKps311EPvr6AqubA6sD3q+//lpatWqV+ff7778vO3fuNJndo0ePmkknnn322YJqJwAAgM8VjbHJ4DvtJ6yNezdBMjKsbhEsDXg1uHUedkwD4M6dO8uFF14oYWFhMnDgQNmwYUOBNBIAAKCgPHj7ASlVPE3+3BYrny6Ps7o5sDLgDQ8PF5vNlvn3jz/+aEoaHOLi4kymFwAAIJCUKp4hA7ocNLfHzkgQp3AHoRbwXnbZZfL555+b23/88YfJ+LZs2TLz8X/++Ufi45mTGgAABJ6B3Q5I0Zh0+fnPYrJkTQmrmwOrAt5hw4bJyJEj5cYbbzSXdu3aSbVq1TIfX7hwoTRq1MjX7QMAAChw5UqnyX232oclGzu9gtXNgVUB76233mqC2nr16sngwYPPm164aNGiZiIKAACAQPTI3fslKjJDlq8vIat+KWZ1c2DVxBOO7K47o0eP9lWbAAAACl3l+FTp2eGwvL2gnIydUUG+nLzF6ibBHyaeAAAACCbDe+6X8HCbLFxVSn75K9bq5sBHCHgBAADOql4lWbq2Opo5YgOCAwEvAACAk5G995rreUtLy187iljdHPgAAS8AAICTutWT5D/XHxObLUyen0mWN6QC3tTUVPnrr78y/169enVBtQkAAMBSo+6xZ3nfW1hG/tkbbXVzUFgBb8+ePaVjx44yatQo8/cjjzyS320DAAD4pcaXn5YbG52QtPQweXEWE2uFTMD7+++/y99//y1RUVEyderUgm0VAACAxUb13meu3/60rOw7lKuRXBGoAW+FCvZZR8aMGSOrVq2S7du3F2S7AAAALNXyqpNyTd1ESU4Jl0kfkuUNiYC3adOmkpaWZm5PmzZNGjduXJDtAgAAsFRY2Lks72vzysnRExFWNwkFHfA++eSTEhlpT+eXLFlSFixYcN4yZ86cyWs7AAAA/E6HZselXo3TcvJUhEyZW87q5sDKYcmSk5PlpZdekmrVqvlidQAAAH6T5R3Zy57l1bKGxNOM6BqIwnMT1I4cOVKuuuoqufbaazMzvDNmzDCB7qRJk2Tw4MEF2VYAAIBCd/tNR6V6lSQ5cjxS3v6ELG/QlzS8/vrrctFFF8mOHTvk9ttvl/vuu09efvllmThxorlv+PDhBdtaAACAQhYRITKipz3L+/L7CZKaSpY30Hj9jn388ccya9YsmTdvnnz99deSnp5uTmL79ddf5Y477pAI3RvyQIc40yA6JibGnAi3du3abCe/ePrpp+WSSy4xy9evX18WL16cr3UCAADkpHv7I1I5PkX2HoqWb7+tYnVzUFAB765du6Rhw4bm9uWXXy5FihQxJQxhWtySR3PmzJEhQ4bI6NGjZf369SaAbdOmjRw4cMDt8o8//ri88cYb8uqrr8qff/4p/fr1k1tvvVU2bNiQ53UCAADkJDrKJo92t2d558+vIWcHrkKwBbya0Y2OPje1no7YULx48XxtXEsh+vbtK71795batWub4c6KFi0q06dPd7v87NmzzUxv7dq1k4svvlgeeOABc1tPmMvrOgEAALzR55ZDUq50quzfX0zmLCljdXOQC15PG2Kz2aRXr14ms6uSkpJMhrVYsWIuy82fP9+r9aWkpMi6devMiXAO4eHhctNNN8nq1as9njinZQrOYmNj5fvvv8/zOh3r1YvDiRMnMkso9FLQUs/+TEy12UQyMgp8e4Ek9Wx/OK5hR794Rt+4R7+4R794Rt+cLypapP8d++Sp16vIC+8mSLc2hyWcct5MJo5xxDWFET/lYhteB7w9e/Z0+fvuu++W/Dh06JDJGsfHu85con9v2rTJ7XO0NEEzuNdff72p4126dKkJsHU9eV2nGjdunJlBLiutVdbscGFZcvSoiF5wniX77IeR4Ip+8Yy+cY9+cY9+8Yy+cVXjugNSdGaCbNxeVJ5aYJNrrtlrdZP8zpKVKwtlO6dPn/Z9wKvDj1lt8uTJplyhVq1apnZYg14tXchvuYJmhLXu1znDW6VKFWndurWZZKOgpZ48aXaOVqVLS1RsbIFvL5BoZkG/bFslJEgUP6Mz0S+e0Tfu0S/u0S+e0Tee++WTdttl3ryasuTTOjLm1jAzVi9EUs+cMcm7Vs2aSVSJEgW+PccReZ8GvL5WtmxZM7LD/v37Xe7XvxMSEtw+p1y5cmb8Xy2nOHz4sFSsWFFGjBhh6nnzuk6lZRqOUg1nUVFR5lLgzs5gFxUWxpeKB9ov9M356BfP6Bv36Bf36BfP6Jvzdey4Vb78/BJZt7GYLP+plLS65qTVTfIPYfbIPyoyslDip9xsw7I9WE+A01EftCzBISMjw/zdpEmTbJ+rdbyVKlUyw6L973//k06dOuV7nQAAAN4oVSpF+tx60Nx+bnoFq5sDL1j6k03LCN566y2ZOXOmbNy40Yy6cOrUKVOmoHr06OFyAtqaNWtMze62bdtk5cqVcvPNN5uAdtiwYV6vEwAAIL8G37VPoiIzZPn6ErLqF9cT+OF/LCtpUF27dpWDBw+aWdz27dsnDRo0MBNJOE4627lzpxllwUFLGXQsXg14dUg0HZJMhyqLi4vzep0AAAD5VTk+VXp2OCxvLygnY2dUkC8nb7G6SfDXgFcNGDDAXNxZtmyZy9/Nmzc3E07kZ50AAAC+MLznfpn+WVlZuKqU/PJXrDS49IzVTYIHVKEDAADkQfUqydK1lX040bEzPJ8cD+sR8AIAAOTRyN72cXjnLS0tf+04f8Qn+AcCXgAAgDyqWz1J/nP9MbHZwmT8TLK8/oqAFwAAIB9G3WPP8s5eWEb+2RttdXPgBgEvAABAPjS+/LTc2OiEpKWHyYTZjArljwh4AQAA8mlU733m+u1Py8r+w5YPgoUsCHgBAADyqeVVJ6Xx5YmSlBwuL39AltffEPACAADkU1iYyGP32LO8r80rJ0dPRFjdJDgh4AUAAPCB9tcdl7rVT8vJUxEyZW45q5sDJwS8AAAAPhAefq6Wd9KH8ZJ4mjDLX/BOAAAA+MjtNx2V6lWS5MjxSHlzflmrm4OzCHgBAAB8JCJCZERPe5Z3wnvxkpwSZnWTQMALAADgW93bH5HK8Smy91C0vPt5GaubAwJeAAAA34qOssnQu/eb2+NnJUhamtUtAgEvAACAj/W99aCUjUuV7buLyJwlF1jdnJBHwAsAAOBjRWNsMvjOA+b22BkJkpFhdYtCGwEvAABAAejf5YCULJYuf26Llc9WlLK6OSGNgBcAAKAAlCqeIQO62LO8z02vIDab1S0KXQS8AAAABWTQnQcktkiG/PxnMflmTQmrmxOyCHgBAAAKSLnSaXLfbQfN7bEzKljdnJBFwAsAAFCAdIiyqMgMWbauhPzwazGrmxOSCHgBAAAKUOX4VOnZ4XDmiA0ofJEWbBOepKSIhPMbxIVjHJekJPrGGf3iGX3jHv3iHv3iGX3j034ZfsdOmf5ZWfny+zj55bcIaVDjlARlHOOnCHj9ZeJtx46Smmp1a/yL45TWxESRMOYjz0S/eEbfuEe/uEe/eEbf+LRfqpc6KV2v3ysfLqso42bEy5yRv0rQ9k3E2bjGjxDw+oPoaPt106YikbwlLnQ+xu++o2+yol88o2/co1/co188o2983i8jSofJh9eIfLwyQZ6eHCeX1rQFZ99En41r/Ah7sD+JjRWJirK6Ff7FkfGmb1zRL57RN+7RL+7RL57RNz7vl3qNRTp2FPn88zAZ/0qsTJ8uwSXVf49SU5QDAABQSEaNsl/Pni2yc6fVrQkdBLwAAACF5JprRG64wX70/8UXrW5N6CDgBQAAKESPPWa/fvttkf37rW5NaCDgBQAAKEQtW4o0bmwf2ezll61uTWgg4AUAAChEOpqZo5b3tddEjh61ukXBj4AXAACgkHXoIFK3rsjJkyJTpljdmuBHwAsAAFDIdJK2kSPttydNss9jgYJDwAsAAGCBLl1EqlcXOXJE5K23rG5NcCPgBQAAsIDOwDt8uP32hAkiyclWtyh4EfACAABYpEcPkcqVRfbsEZk50+rWBC8CXgAAAItER4sMHWq/PX68fUIK+B4BLwAAgIX69BEpW1Zk2zaROXOsbk1wIuAFAACwULFiIoMH22+PGyeSkWF1i4IPAS8AAIDFHnxQpGRJkT/+EPnsM6tbE3wIeAEAACwWFycyYID99tixIjab1S0KLgS8AAAAfmDgQJHYWJGffhL55hurWxNcCHgBAAD8QPnyIn37nsvywncIeAEAAPyEDlEWFSWybJnIDz9Y3ZrgQcALAADgJ6pUsU9Gocjy+g4BLwAAgB/R6YbDw0W+/FLkl1+sbk1wIOAFAADwIzVqiHTpcm5cXuQfAS8AAICfGTnSfv3xxyJ//211awIfAS8AAICfqVdPpGNH+3i8zz9vdWsCHwEvAACAHxo1yn49e7bIzp1WtyawEfACAAD4oWuuEbnhBpG0NJEXX7S6NYGNgBcAAMDPs7xvvy2yf7/VrQlcBLwAAAB+SjO8jRuLJCWJTJpkdWsCFwEvAACAnwoLO5flnTpV5OhRq1sUmAh4AQAA/FiHDiKXXy5y8qQ96EXuEfACAAD4MZ11zZHl1bKGxESrWxR4CHgBAAD83O23i1xyicjhwyJvvWV1awIPAS8AAICfi4wUGTHCfnvCBJHkZKtbFFgIeAEAAAJA9+4ilSqJ7NkjMnOm1a0JLAS8AAAAAaBIEZFHH7XfHj/ePiEFvEPACwAAECD69BEpW1Zk2zaROXOsbk3gIOAFAAAIEMWKiQwaZL89bpxIRobVLQoMBLwAAAABpH9/kZIlRf74Q+Szz6xuTWAg4AUAAAggcXH2oFeNHStis1ndIv9HwAsAABBgtKwhNlbkp59Eli61ujX+j4AXAAAgwJQvL9K3r/32c89Z3Rr/R8ALAAAQgIYOFYmKElm2TOSHH6xujX8j4AUAAAhAVaqI9OhxrpYXnhHwAgAABKjhw0XCw0W+/FLkl1+sbo3/sjzgnTp1qlx00UUSExMjjRs3lrVr12a7/KRJk+TSSy+V2NhYqVKligwePFiSkpIyH3/qqackLCzM5VKrVq1CeCUAAACFq0YNkS5d7Leff97q1vgvSwPeOXPmyJAhQ2T06NGyfv16qV+/vrRp00YOHDjgdvkPPvhARowYYZbfuHGjvPPOO2Ydo0aNclmuTp06snfv3szL999/X0ivCAAAoHCNHGm/njtX5O+/rW6Nf7I04J04caL07dtXevfuLbVr15Zp06ZJ0aJFZfr06W6X/+GHH6Rp06Zy5513mqxw69atpVu3budlhSMjIyUhISHzUlbn4AMAAAhC9eqJdOxoH493/HirW+OfIq3acEpKiqxbt05GOn6WaPQdHi433XSTrF692u1zrr32WnnvvfdMgNuoUSPZtm2bLFy4ULp37+6y3ObNm6VixYqmTKJJkyYybtw4qVq1qse2JCcnm4vDiRMnzHVqaqq5FDTHNgpjW4GGvnGPfvGMvnGPfnGPfvGMvgmsfhk2LEw+/zxSZs2yyahRaZJN2BM0fZOb7YTZbNbMz7Fnzx6pVKmSydpqUOowbNgwWb58uaxZs8bt81555RUZOnSoaLPT0tKkX79+8vrrr2c+vmjRIklMTDR1vlrOMGbMGNm9e7f8/vvvUqJECbfr1LpfXc5dCYVmnAEAAPzdE09cK7/9Vk7at98mffv+JsHu9OnT5qj/8ePHpaTOtRwsAe+yZcvkjjvukGeffdac4LZlyxYZOHCgKYt44okn3G7n2LFjcuGFF5ryiXvvvdfrDK+eEHfo0KEcO9BXv1CWLFkirVq1kigdUA+Z6Bv36BfP6Bv36Bf36BfP6JvA65dvvw2Tm2+OlJgYm2zenCbx8cHdNydOnDBlq94EvJaVNGgDIyIiZP/+/S73699ad+uOBrVavtCnTx/zd926deXUqVNy3333yWOPPWZKIrKKi4uTmjVrmuDYkyJFiphLVvpmFebOXNjbCyT0jXv0i2f0jXv0i3v0i2f0TeD0S+vWIo0aiaxdGyZTp0bJuHHB3TdRudiGZSetRUdHS8OGDWWp0wTQGRkZ5m/njG/W1HXWoFaDZuUpUa3lDVu3bpUKFSr4tP0AAAD+JCxM5LHH7LenTtWj3Fa3yH9YOkqDDkn21ltvycyZM80wYw888IDJ2OqoDapHjx4uJ7V17NjR1Ot+9NFHsn37dpM216yv3u8IfLW+V0siduzYYcolbr31VvOYjuYAAAAQzDp0ELn8cpGTJ0WmTLG6Nf7DspIG1bVrVzl48KA8+eSTsm/fPmnQoIEsXrxY4s8WnezcudMlo/v444+biST0Wk9EK1eunAl2n3vuucxldu3aZYLbw4cPm8evu+46+fHHH81tAACAYKZhk05PcOedOlmXyODBIsWKWd2qEA941YABA8zFHT1JLev4ujrphF480ewvAABAqLr9dj3vSWTrVpE337QHvaHO8qmFAQAA4DuRkSLDh9tvT5igo1FZ3SLrEfACAAAEmR49RCpV0mFgRWbOtLo11rO8pCGQpaen+2Q2EV2HlmskJSWZdSL4+0aHUnGcaAkAgK/paKtDh9rLGcaPF7nnHnvmN1SF8EvPOx0CTU+y00ktfLU+HXv433//NSflITT6RseI1tcWbK8LAOAf+vYV0fP6t20TmTvXfiJbqCLgzQNHsFu+fHkz9XB+AxYdf1jHCy5evLjbyTNCWTD2jQbxOqb0gQMHzN+MEQ0AKAg6OsOgQTrKlcjYsSJ33GEfxSEUEfDmkh5WdwS7ZcqU8VlQl5KSIjExMUET1PlKsPZNbGysudagV/clyhsAAAWhf3+RF14Q+eMPkc8/F+nUSUJS8EQQhcRRs6uZXSA/HPuQL+rAAQBwJy7OHvQqLW/wMDFt0CPgzSPqLpFf7EMAgMIwaJAeWRT56SeRpUslJBHwAgAABLHy5e0nsCmt5Q1FBLwW0RG2dCK5Dz+0X/v7iFstWrSQQfoTMRsXXXSRTNJ5DAEAgF8ZOlSHxBT57juR1asl5BDwWmD+fA0ORVq2tA8RcuON4VKvXklzf0Hp1auXOYSe9bJlyxYpLDoywciRI+WSSy4xJ6GVK1dOmjdvLp9++mmhtQEAgFBUpYp9MopQzfIS8BYyDWo7dxbZtcv1/r17w6RLl7ACDXpvvvlm2bt3r8ulWrVqUlj69esn8+fPl1dffVU2bdokixcvls6dO8vhw4cLbJs6wgMAABAz3bAOePTFFyK//iohhYDXB/SMx1Oncr6cOCHy8MPuz5C02ewnMA0caF/Om/Xl9kzLIkWKmIkOnC+O4bCWL18ujRo1MsvouLAjRoyQtLQ0j+vS4bQ6duxohtfSoPn999/PcfufffaZjBo1Stq1a2fKHxo2bCgPPfSQ3KPTv5yVnJwsw4cPlypVqpi21KxZU2bPnp35eE7t1NKLAQMGmPKLsmXLSps2bcz9v//+u7Rt29aM5xsfHy/du3eXQ4cO5a4DAQAIYDVqiNx+u/32uHESUgh4feD0aZHixXO+lColsnu35/Vo0KuZX13Om/Xpdn1h9+7dJgi9+uqr5ddff5XXX39d3nnnHXn22WezLZHQ2c++++47mTdvnrz22muZEyl4ogH2woUL5eTJkx6X6dGjh3z44YfyyiuvyMaNG01biunI2blo58yZMyU6OlpWrVol06ZNM+Mm33DDDXLFFVfIzz//bDLL+/fvly5duuS6rwAACGSjRtmvdea1v/+WkMHEEyHkiy++MBlOB814fvzxxyZY1YzqlClTTF1vrVq1ZM+ePSbT+uSTT5434cPff/8tixYtkrVr15rgU2ngedlll2W7/TfffFPuuusuM2FH/fr15brrrjMlDU2bNs1c79y5c2XJkiVy0003mfs0E3xCU94iXrezRo0a8oKOsn2WBsQa7I51KlqaPn26WZduU7PIAACEgnr1RDp0sJc1jB+v/39LSCDD6wM6f0BiYs6XhQu9W58u5836cjv3RcuWLeWXX37JvGgWVWkmtUmTJi7jwmoQqlP67spabHx2+cjISFOS4KDBZ5yObp2N66+/XrZt2yZLly41ge4ff/whzZo1k2eeecY8rm3SEgs9kc0db9vp3C6l2WDNRGuw77hoe9XWrVtz7DcAAILJY4/Zr2fNEtm5U0ICGV4f0Pjr7FH3bLVuLVK5sr2swV39bViYTSpXDjPLFcRMs1oaUL16dbFSVFSUCXL1oplZzb4+/fTT5rZjut38cpRAOGhArPXG4/WnbBZaBwwAQCi55hr7SFE6RNmECSJn819BjQxvIdIgdvJk++2sk2xpsKt0GNuCCHazo6UIq1evFptTFK71ryVKlJDKGqFnodlRPVFs3bp1mff99ddfplY2t2rXrm3WlZSUJHXr1pWMjAxzYpov2ulw5ZVXmmyylkdowO98yRocAwAQSrW8b72lJ6JL0CPgLWS33SYyb55IpUqu91esaJO5c23m8cL24IMPmhPQdMQEHS5Mx8UdPXq0DBky5Lz6XXXppZeaIc7uv/9+WbNmjQl8+/Tpk2OGVkdQeOONN8zyO3bsMCew6agNWmpRsmRJE5D27NnTjNqwYMEC2b59uyxbtkw++eSTPLXToX///nLkyBHp1q2b/PTTT6aM4auvvpLevXtLur/P+AEAQAG48UaRRo1EkpJEXn5Zgh4BrwU0qN2xw34o4YMPdF7rDPn11xOWBLuqUqVKJvjUk9D0ZDIdL/fee++Vxx9/3ONzZsyYIRUrVjT1trfddpvcd999Ul7nLsyGDhGmIyi0bt3aZGs1cNX79EQ1Bx15Qet7NbjVTLIG1TphRV7bqbSdmgnW4Fa3rZlkHbZMa46zC5QBAAhWYWHnsrxTp4rk4SBtQKGG1yJattCihf12RoZ97N2C9O6772b7uAauGkh6opnWrEOM6agPznRs2+zoLGt6yY7OwDZx4kRzUVri4BilIS/tdNCRG3TSCwAAYNexo8jll+tY9SJTpojkkD8KaKS3AAAAQlB4uCajJPMcIp3UKlgR8AIAAISoLl1ELrlE5PBh+wlswYqAFwAAIERFRooMH26//eKLIsnJEpQIeAEAAEJYjx720aP27LFPRhGMCHgBAABCWJEiIkOH2m8//7xIWpoEHQJeAACAENe3r0jZsiLbtok4jRYaNAh4AQAAQlyxYiKDBtlvjxtnHzI1mBDwAgAAQPr3FylRwj4u7+efS1Ah4AUAAIDExdmDXjV2rIjNJkGDgBcAAADG4ME666mITmq6dKkEDQLeENGrVy8JCwuTfv36nfdY//79zWO6jNV0CmRti17Cw8OlUqVKcs8998jOnTszl/n000+lVatW0rhxY7n22mtl+/btudrG//3f/0mzZs3MNMZVqlSRF154IcfnLF261GyrRIkSZlrl4cOHS5rTaaw7duzIbLfz5ccff8xlDwAAYJ3y5e0nsDmyvMGCgDeEaHD30UcfyZkzZzLvS0pKkg8++ECqVq0q/qJkyZKyd+9e2b17t3z88ceyefNm6dq1a+bjbdu2lSVLlsiaNWukdu3asnjxYq/XfeLECWndurVceOGFsm7dOnnxxRflqaeekjfffNPjc3799Vdp166d3HzzzbJhwwaZM2eOfPbZZzJixIjzlv3mm29M2x2Xhg0b5qEHAACwzqOP2iek+O47kdWrJSgQ8PqSTkLt6ZKU5P2yTgGpx2Xz4MorrzRB7/z58zPv09sa7F5xxRUuy2ZkZMi4ceOkWrVqEhsbK/Xr15d58+ZlPp6eni733ntv5uOXXnqpTJ482WUdmjG+5ZZbZMKECVKhQgUpU6aMySanpqZm207NjGoWVZ+jWdXu3bvL2rVrTbCqoqOjzfWXX34pu3btkt69e3vdB++//76kpKTI9OnTpU6dOnLHHXfIww8/LBMnTvT4HA1w69WrJ08++aRUr15dmjdvbrLCU6dOlZMnT7osq69R2+64REVFed02AAD8QZUq9skoginLS8DrS8WLe77897/nHzM4+1h4yZISV7myuTb3tW3ruuxFF52/vjzS8oAZM2Zk/q2Bn7uAUYPdWbNmybRp0+SPP/6QwYMHy9133y3Lly/PDIgrV65sMrB//vmnCQZHjRolc7MM3vfdd9/J1q1bzfXMmTNNyYJevHXgwAH54osvJCIiwlwc23722Wflk08+kQULFpjSBOdgObv1r169Wq6//vrMoFm1adNG/vrrLzl69Kjb5yQnJ7tsQ2mQr9lxzRI7+89//iPly5eX6667zmSBAQAIRCNGiISHi3zxhR7plIBHwBtiNGj9/vvv5Z9//jGXVatWmfuyBnhjx441wbAGgxdffLHJ1upyb7zxhllGM5djxoyRq666ymR577rrLhM4Zw14S5cuLVOmTJFatWpJhw4dpH379qYeNjvHjx+X4sWLS7FixUyWd+XKlfLggw+av5Vmkp977jn5/fffpUWLFvLqq69mPlczzaVKlfK47n379kl8fLzLfY6/9TF3tA9++OEH+fDDD01mW0stnn76afOYli0obe9LL71kfgBo5lkDXs1uE/QCAAJRjRoit99+blzeQBdpdQOCSmKi58fOZiczHTiQeVMzlnq4XmtX9UQt85PK2Y4dPmtiuXLlTNCpWVCbzWZul9WpVZxs2bJFTp8+bU4Mc6alAM6lD3pIX4NiPaFM64L18QYNGrg8R8sGHJlZpQHsb7/9lm0b9cSw9evXm9KHhQsXyuzZs01G10GzzXpxZ9OmTeJrWvOrtb56wp+WVxQpUkSeeOIJE4ib90t0dpqyMmTIkMznXH311bJnzx7zPM36AgAQaEaO1LI++8xrmuepWVMCFgGvL53NQOZ6WZ3OJD3dfl/WYDe36/WyrGHAgAGZQWtWiWcDd81U6igJzjTYU3ry29ChQ01Ws0mTJiZI1eBOTyRzlrWGVUsONMDPjgaRWivryNhu3LjRZHjfe+89yS+tq92/f7/LfY6/9TFPNJjVIFszupq11lEZRo4cabLfnugoEnpyHQAAgah+fZEOHexlDePHi7zzjgQsShpCkI42oNlYzaDq4fqsdOQDDWw1c6uBp/NFT3pTWgqhJ5RpIKpZX31Ma3ULwqBBg0yphGZ980uD8xUrVricOKdBqQbWGshmR4P1ihUrmvpdLW/QvtATAT355ZdfTEYbAIBANWqU/XrWLBGnEUIDDgFvCNISA82a6slmzuUGDpqt1eytZjT1RDMNZDXY1FpZ/VvVqFFDfv75Z/nqq6/k77//Nof4f/rppwJpr54cp/WwemJcTrRWWE9m8+TOO+80J6zpCBN6Mp6OwKA1wc7lCPp8XY8zzV5rKYY+55lnnpHnn39eXnnllcz+037RIFhLKvTiqIF+6KGH8vXaAQCwUpMmIi1biujQ8y+9JAGLkoYQpfXC2dGgTut9dbSGbdu2SVxcnMlm6kgM6v777zdj0ur4uJr57Natm8n2Llq0qMCyvE2bNjXDkzVq1Mjjcjragp705ome0Pb111+b4dF0jFytvdVA+r777stcRp+v63Gmr0tPlNMT+nSINp38QscDztpneiJgZGSkCZg1mO7cuXO+XjcAAFYbNco+Ju9bb4k89ph9oKlAE2bTM5fgQk8g08BIA5+sgaEORaUze+nIBFmHqsqr805aQ0j0TX72JccJfTohBmP9uqJv3KNf3KNfPKNv3AvFfrHZ9LwUET2QqyeyeRqbt7D7Jrt4LavgiiAAAADgU2Fh9syu0nPdjx2TgEPACwAAgGx17KhDjWpW1R70BhoCXgAAAGRLqwodIza8/LLIqVMSUAh4AQAAkKMuXUR0+PnDh+0nsAUSAl4AAADkKDJSZMQI++0JE0SSkyVgEPACAADAKz16iFSsKLJ7t30yikBBwAsAAACvFCkiMnSo/bZON6wTUgQCAl4AAAB4TedqKlNGZOtWkblzJSAQ8AIAAMBrxYrpDKj22+PG6SRR4veYWtiXUlLyltvXPeX0aXs1uLeziemy0dESrHr16iXHjh2T+fPnW90UAACQxYABIi+8IPL77yKffy7SqZP4NQJeXwa7a9eKJCbm/rkZGRKhAW/Rot4HvMWLizRqVGBB73PPPSdffvml/PLLLxIdHW2Cz5zoNLmPPfaYLFu2TI4cOSJly5aVhg0byvjx46VWrVqyY8cOM43uhg0bpEGDBvlqn26jZcuW5nZYWJiUKFFCLr74YmnVqpUMHjxYKlSokK/1AwAAz+LiRPr3F3n+eftUw//5j/g1Shp8RTO7GuxqAFqiRO4vGsB6u6xuQ7eVj0rxFi1ayLvvvuvx8ZSUFLn99tvlgQce8Gp9On+2Bps6n7VmZf/66y+ZM2eO1K1b16tgOa90O3v27JGffvpJhg8fLt98841cfvnl8ttvvxXYNgEAgJiyhpgYe77v22/FrxHwFsTpi/ruF+RFt1HAxowZYzKlGrB6448//pCtW7fKa6+9Jtdcc41ceOGF0rRpU3n22WfN30qzu+qKK64wWVkNulV6eroMGTJE4uLipEyZMjJs2DCx2Wxebbd8+fKSkJAgNWvWlDvuuENWrVol5cqVOy9Qf/vtt+Wyyy6TmJgYk23Wdjpce+21Jlh2dvDgQYmKipIVK1Z41Q4AAEJNfLxI3772288+K7J8eZisWFHJXKeni18h4IVPaJAZHh4u8+bNMwGsO2v1J6CIycLu3bs3sz73pZdeMtnm6dOny/fff2/KIT755JM8tSM2Nlb69etnAt8DBw6Y+95//3158sknTZnGxo0bZezYsfLEE0/IzJkzzeN33XWXfPTRRy5BtmanK1asKM2aNctTOwAACAVDh9qrMZctE2nVKlImTrzKXF90kYg/nYZDwBsiNMgrXrx45mXlypUmMHS+b+fOnXlef6VKleSVV14xgWXp0qXlhhtukGeeeUa2bdvmEhQrzeJqVvaCCy4wf0+aNElGjhwpt912m8nCTps2TUqVKpXntmgGV2nNsBo9erQJqnX9mmXWa81ev/HGG+bxLl26mLIIDbYdPvjgA+nWrZvJRAMAAPd+/tn9KA06MUXnzv4T9BLwhggNbvUENMflqquukqefftrlPs1o5kf//v1l3759JqPapEkT+fjjj6VOnTqyZMkSj8/Rml/N9jZu3DjzvsjISNO+vHJkajVYPXXqlCm1uPfee12Cey210PsdgXjr1q1Nux0n361evdpkfgEAgHt6QHfgQPePOQ6aap2vP5Q3MEpDiNBsqiOj6jj0r/Wv1atX9+l2dLSEjh07mosGlW3atDHXekJbYdGyBXXRRRdJ4tlRM9566y2XoFpFRERk3tbg9uGHH5ZXX33VZHe1dtnb+mUAAELRypUiu3Z5flyD3n//tS939rQdy5DhRYHRDKuWF2iWVenwZsq5xldLF3QIsTVr1mTel5aWJuvWrcvTNs+cOSNvvvmmXH/99SZzGx8fbzLXWlqhwb3zxXESnerUqZMkJSXJ4sWLTcBLdhcAgOzt3evb5QoSGV5fS07O/XO0+CUpSVOO3o3Dm4dtaKbTke1UepKW0hIEBw0QHVlPrefVk8f0WgNULXlQGihqSUBW+rjWynbv3l1q165tgtvly5ebE9EcIyBoRlkzyxpUVq5c2YyYoAHvwIED5fnnn5caNWqYAHnixIleD2WmJ6ZpoHry5EkTJL/wwgty6NAhlwkrdMQJzd7qtm6++WZJTk6Wn3/+WY4ePWpGh1DFihWTW265xZzMphlird8FAACeeTvkvT8MjU/A6ys685kGghpU6iQUeZlpTa9zM/GEbtNLEyZMMIFfdrR2VcsAlJ585hjFwDGUmPruu+8yhxNzpgGsPle3oSeLaXbX8beeIOaozdUT27R2WNevIyDoBBKPPPKIqePt2bOnGenhnnvukVtvvdXU9+bk0ksvNdvSIFwnntBaXA1i9aQ4hz59+kjRokXlxRdflEcffdQEt1quMMgxL+JZmtVt166dyQ5XrVo1x20DABDKmjXT///tJ6i5G01Uz/vWx/1hwKMwm7cDnoaQEydOmGygBlwlS5Z0eUyziRoY6uFwzVD6YmrhjIwMs03dlgZ8XgnyqYXz1TcBItt9yYuJPhYuXGgCdB0vGOfQN+7RL+7RL57RN+7RL670gKqOxqCcI0rHIEfz5oncdpsUeryWFRleX9IANC9BqGZ2NVDOzdTCAAAAFrvtNntQq6M1OJ/AppndSZMKLtjNLQJeAAAA5JkGtZ06adljmixa9Iu0bdtAWraMNKcm+QsCXgAAAOSLBrfNm9vk1Knd0rx5fb8KdhXHzwEAABDUCHjziHP9kF/sQwAAFA4C3lxynJF5WocRA/LBsQ9xli8AAAWLGt5c0okZ4uLizIQHSsd31XFg8zv0VkpKihmmKtiG3sqvYOwbzexqsKv7kO5LzlMcAwCAIAx4p06daiYE0Bm/6tevL6+++qo0atTI4/KTJk2S119/3cwAVrZsWencubOMGzfOZRzT3K4ztxyTGjiCXl8EQDolrs5Clt/gOdgEc99osOs8QQYAAAjCgHfOnDlmVqxp06ZJ48aNTTDbpk0b+euvv8w0tFl98MEHMmLECDNd7bXXXit///239OrVywRCOh1tXtaZF7q9ChUqmPXpANT5petYsWKFmeGLw9uh0Tf6WsjsAgAQAgGvBql9+/aV3r17m781SP3yyy9NQKuBbVY//PCDNG3aVO68807zt05d261bN1mzZk2e16mSk5PNxXnmDkewlVNA64ugRQ/bp6WlmXURBIVG3+jr0kteOfZLX/zgCjb0jXv0i3v0i2f0jXv0i//0TW62Y9nUwlqXqfWv8+bNk1tuuSXz/p49e8qxY8fk008/dZvhffDBB+Xrr782JQrbtm2T9u3bS/fu3WXUqFF5Wqd66qmnZMyYMW63p+sDAACAf9HzYTQJ6tdTCx86dEjS09MlPj7e5X79e9OmTW6foy9Kn3fdddeZ2k7N/PXr188Eu3ldpxo5cqQpg3DO8FapUkVat26dYwf66hfKkiVLpFWrVkF12N4X6Bv36BfP6Bv36Bf36BfP6Bv36Bf/6RvHEfmAOGktN5YtWyZjx46V1157zdTnbtmyRQYOHCjPPPOMPPHEE3leb5EiRcwlK32zCnNnLuztBRL6xj36xTP6xj36xT36xTP6xj36xfq+yc02LAt4dYQFrcncv3+/y/36t6cz1zWo1fKFPn36mL/r1q0rp06dkvvuu08ee+yxPK3THUeVR25+OeT3F5Gm5XV7fHhc0Tfu0S+e0Tfu0S/u0S+e0Tfu0S/+0zeOOM2b6lzLAt7o6Ghp2LChLF26NLPeVk/i0b8HDBjg9jnaiVnHYnWcyKQvNi/rdOfkyZPmWssaAAAA4L80bitVqpT/ljRo3ayeUHbVVVeZk9B0CDHN2DpGWOjRo4dUqlTJjLOrOnbsaEZhuOKKKzJLGjTrq/c7At+c1umNihUryr///islSpQolLFfHTXDus3CqBkOJPSNe/SLZ/SNe/SLe/SLZ/SNe/SL//SNJjs12NW4LSeWBrxdu3aVgwcPypNPPmkmiWjQoIEsXrw486QznVzCOaP7+OOPmwBUr3fv3i3lypUzwe5zzz3n9Tq9odusXLmyFDbdOfjwuEffuEe/eEbfuEe/uEe/eEbfuEe/+Eff5JTZtXxYMrj+ItI3zJthNUINfeMe/eIZfeMe/eIe/eIZfeMe/RKYfeNaEAsAAAAEGQJeP6BDoo0ePdrt0Gihjr5xj37xjL5xj35xj37xjL5xj34JzL6hpAEAAABBjQwvAAAAghoBLwAAAIIaAS8AAACCGgEvAAAAghoBbyFYsWKFmSBDZwLRiTMWLFiQ43OWLVsmV155pTnTsXr16vLuu+9KqPeL9okul/WiE4wEE51Z8OqrrzYz/ZUvX95Mk/3XX3/l+LyPP/5YatWqJTExMVK3bl1ZuHChBJu89I1+drLuM9pHweT111+XevXqZQ723qRJE1m0aJGE+v6Sl74Jhf3Fneeff9681kGDBmW7XKjsN7npl1DZZ5566qnzXqfuC4GyvxDwFgKd2rh+/foydepUr5bfvn27tG/fXlq2bCm//PKL+aD16dNHvvrqKwnlfnHQAGfv3r2ZFw18gsny5culf//+8uOPP8qSJUskNTVVWrdubfrLkx9++EG6desm9957r2zYsMEEgnr5/fffJdT7Rmmg47zP/PPPPxJMdGZI/Y953bp18vPPP8sNN9wgnTp1kj/++COk95e89E0o7C9Z/fTTT/LGG2+YHwbZCaX9Jjf9Ekr7TJ06dVxe5/fffx84+4sOS4bCo13+ySefZLvMsGHDbHXq1HG5r2vXrrY2bdrYQrlfvvvuO7Pc0aNHbaHkwIED5nUvX77c4zJdunSxtW/f3uW+xo0b2+6//35bqPfNjBkzbKVKlbKFmtKlS9vefvttt4+F6v7iTd+E2v5y8uRJW40aNWxLliyxNW/e3DZw4ECPy4bSfpObfgmVfWb06NG2+vXre728v+0vZHj90OrVq+Wmm25yua9Nmzbmfog0aNBAKlSoIK1atZJVq1ZJsNMpGtUFF1zgcZlQ3We86RuVmJgoF154oVSpUiXH7F6gS09Pl48++shkvfXwvTuhur940zehtr/oERM9oph1fwj1/SY3/RJK+8zmzZtNGeLFF18sd911l+zcuTNg9pdIS7aKbGlNanx8vMt9+rfOUX3mzBmJjY2VUKRB7rRp0+Sqq66S5ORkefvtt6VFixayZs0aU+8cjDIyMkxJS9OmTeXyyy/P9T4TbPXNeembSy+9VKZPn24OS2qAPGHCBLn22mvNf0h6uDtY/PbbbyaIS0pKkuLFi8snn3witWvXdrtsqO0vuembUNlflAb/69evN4fuvREq+01u+yVU9pnGjRubemV9vVrOMGbMGGnWrJkpUdDzKvx9fyHgRcDQD5leHPQLZevWrfLyyy/L7NmzJRhplkG/TLKrkwpV3vaNBjrO2Tzdby677DJTm/fMM89IsNDPhtb863+48+bNk549e5qaZ0+BXSjJTd+Eyv7y77//ysCBA00tfDCeYFWY/RIq+0zbtm0zb2twrwGwZrXnzp1r6nT9HQGvH0pISJD9+/e73Kd/a1F8qGZ3PWnUqFHQBoMDBgyQL774woxmkVOWwNM+o/eHet9kFRUVJVdccYVs2bJFgkl0dLQZ0UU1bNjQZKcmT55s/tMN9f0lN30TKvuLnsR34MABl6NjWvKhn6kpU6aYo2gREREht9/kpV9CZZ/JKi4uTmrWrOnxdfrb/kINrx/SX4pLly51uU9/bWZXcxaqNGujpQ7BRM/h04BOD7t+++23Uq1atRyfEyr7TF76Jiv9z0sPcQfbfuOu5EP/cw7l/SUvfRMq+8uNN95oXpd+hzouWi6mdZl6211QFwr7TV76JVT2GXd1y3qU1dPr9Lv9xZJT5UKMnu25YcMGc9Eunzhxorn9zz//mMdHjBhh6969e+by27ZtsxUtWtT26KOP2jZu3GibOnWqLSIiwrZ48WJbKPfLyy+/bFuwYIFt8+bNtt9++82cNRseHm775ptvbMHkgQceMGf8Llu2zLZ3797My+nTpzOX0X7R/nFYtWqVLTIy0jZhwgSzz+jZtFFRUaafQr1vxowZY/vqq69sW7duta1bt852xx132GJiYmx//PGHLVjo69WRKrZv3277v//7P/N3WFiY7euvvw7p/SUvfRMK+4snWUcjCOX9Jjf9Eir7zCOPPGK+e/WzpPvCTTfdZCtbtqwZLScQ9hcC3kLgGE4r66Vnz57mcb3WD1TW5zRo0MAWHR1tu/jii82wJ6HeL+PHj7ddcskl5ovkggsusLVo0cL27bff2oKNuz7Ri/M+oP3i6CeHuXPn2mrWrGn2GR3W7ssvv7QFm7z0zaBBg2xVq1Y1/RIfH29r166dbf369bZgcs8999guvPBC8xrLlStnu/HGGzMDulDeX/LSN6Gwv3gb2IXyfpObfgmVfaZr1662ChUqmNdZqVIl8/eWLVsCZn8J03+syS0DAAAABY8aXgAAAAQ1Al4AAAAENQJeAAAABDUCXgAAAAQ1Al4AAAAENQJeAAAABDUCXgAAAAQ1Al4AAAAENQJeAAgxLVq0kEGDBmW7zEUXXSSTJk0qtDYBQEEi4AWAANSrVy8JCws777JlyxarmwYAfifS6gYAAPLm5ptvlhkzZrjcV65cOcvaAwD+igwvAASoIkWKSEJCgsslIiJCli9fLo0aNTKPV6hQQUaMGCFpaWke13PgwAHp2LGjxMbGSrVq1eT9998v1NcBAAWNDC8ABJHdu3dLu3btTMnDrFmzZNOmTdK3b1+JiYmRp556yu1zdNk9e/bId999J1FRUfLwww+bIBgAggUBLwAEqC+++EKKFy+e+Xfbtm2lZs2aUqVKFZkyZYqp6a1Vq5YJZocPHy5PPvmkhIe7Htj7+++/ZdGiRbJ27Vq5+uqrzX3vvPOOXHbZZYX+egCgoBDwAkCAatmypbz++uuZfxcrVkz69+8vTZo0McGuQ9OmTSUxMVF27dolVatWdVnHxo0bJTIyUho2bJh5nwbJcXFxhfQqAKDgEfACQIDSALd69epWNwMA/B4nrQFAENFShNWrV4vNZsu8b9WqVVKiRAmpXLnyectrNldPaFu3bl3mfX/99ZccO3as0NoMAAWNgBcAgsiDDz4o//77rzz00EPmhLVPP/1URo8eLUOGDDmvflddeumlZniz+++/X9asWWMC3z59+pgRGwAgWBDwAkAQqVSpkixcuNCchFa/fn3p16+f3HvvvfL44497fI6O5VuxYkVp3ry53HbbbXLfffdJ+fLlC7XdAFCQwmzOx70AAACAIEOGFwAAAEGNgBcAAABBjYAXAAAAQY2AFwAAAEGNgBcAAABBjYAXAAAAQY2AFwAAAEGNgBcAAABBjYAXAAAAQY2AFwAAAEGNgBcAAAASzP4fYkyNLmZBPlkAAAAASUVORK5CYII=", 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" ] @@ -850,9 +1035,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "R² Scores for each fold: [0.99040942 0.98790673 0.99653286 0.99102248 0.88548406]\n", - "Mean R²: 0.97\n", - "Standard Deviation: 0.04\n" + "R² Scores for each fold: [0.98369199 0.9882848 0.99649707 0.99211623 0.80882796]\n", + "Mean R²: 0.95\n", + "Standard Deviation: 0.07\n" ] } ], @@ -896,43 +1081,48 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0:\tlearn: 8.7841225\ttotal: 17.9ms\tremaining: 12.3s\n", - "200:\tlearn: 0.6414325\ttotal: 4.79s\tremaining: 11.6s\n", - "400:\tlearn: 0.4070658\ttotal: 9.53s\tremaining: 6.82s\n", - "600:\tlearn: 0.3136415\ttotal: 14.6s\tremaining: 2.11s\n", - "687:\tlearn: 0.2871957\ttotal: 18.3s\tremaining: 0us\n", - "0:\tlearn: 9.6341897\ttotal: 38.6ms\tremaining: 26.5s\n", - "200:\tlearn: 0.5292219\ttotal: 8.49s\tremaining: 20.6s\n", - "400:\tlearn: 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18.2s\n", + "600:\tlearn: 0.3216253\ttotal: 26.5s\tremaining: 10.1s\n", + "800:\tlearn: 0.2779483\ttotal: 35.2s\tremaining: 1.32s\n", + "830:\tlearn: 0.2736423\ttotal: 36.6s\tremaining: 0us\n", + "0:\tlearn: 13.3519464\ttotal: 46.7ms\tremaining: 38.7s\n", + "200:\tlearn: 0.9643347\ttotal: 8.18s\tremaining: 25.6s\n", + "400:\tlearn: 0.3782954\ttotal: 18.7s\tremaining: 20s\n", + "600:\tlearn: 0.3032669\ttotal: 29.7s\tremaining: 11.3s\n", + "800:\tlearn: 0.2713702\ttotal: 39.4s\tremaining: 1.47s\n", + "830:\tlearn: 0.2671092\ttotal: 40.7s\tremaining: 0us\n", + "0:\tlearn: 14.3572371\ttotal: 37.2ms\tremaining: 30.9s\n", + "200:\tlearn: 0.8697156\ttotal: 8.57s\tremaining: 26.9s\n", + "400:\tlearn: 0.3724428\ttotal: 18s\tremaining: 19.3s\n", + "600:\tlearn: 0.3016009\ttotal: 28s\tremaining: 10.7s\n", + "800:\tlearn: 0.2724626\ttotal: 37.7s\tremaining: 1.41s\n", + "830:\tlearn: 0.2678372\ttotal: 39.1s\tremaining: 0us\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -944,9 +1134,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "R² Scores for each fold: [0.97547565 0.97730142 0.99540966 0.98816158 0.30451961]\n", + "R² Scores for each fold: [0.95016289 0.96477909 0.99462171 0.97371542 0.38662643]\n", "Mean R²: 0.85\n", - "Standard Deviation: 0.27\n" + "Standard Deviation: 0.23\n" ] } ], @@ -965,7 +1155,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1032,123 +1222,123 @@ " \n", " \n", " 0\n", - " EM9660\n", - " Kota Jakarta Timur\n", - " Perempuan\n", - " 1970-07-27\n", - " 2023-10-09\n", - " 2024-10-31\n", - " Single\n", - " 0\n", - " D3\n", - " 2.0\n", + " EM0406\n", + " Kota Jakarta Utara\n", + " Laki-laki\n", + " 1975-01-07\n", + " 2021-09-25\n", + " 2023-12-07\n", + " Married\n", + " 3\n", + " SLTA\n", + " 3.0\n", " ...\n", " Mid-term\n", - " 4.000000\n", - " 1\n", - " 1\n", - " 4843236.0\n", + " 6.500000\n", " 4\n", - " 1210809.00\n", - " 2.0\n", + " 1\n", + " 1578410.0\n", + " 1\n", + " 1578410.00\n", + " 1.0\n", " Medium\n", - " 9.182979\n", + " 9.797428\n", " \n", " \n", " 1\n", - " EM12614\n", - " Tangerang\n", - " Laki-laki\n", - " 1972-03-13\n", - " 2023-12-19\n", - " 2024-10-31\n", + " EM1772\n", + " Kabupaten Bogor\n", + " Perempuan\n", + " 1993-04-18\n", + " 2021-02-23\n", + " 2023-06-24\n", " Married\n", " 1\n", - " D1\n", - " 1.0\n", + " SLTA\n", + " 2.0\n", " ...\n", - " Short-term\n", - " 5.000000\n", + " Mid-term\n", + " 9.333333\n", " 2\n", " 1\n", - " 3491432.0\n", - " 2\n", - " 1745716.00\n", - " 2.6\n", + " 2003154.0\n", + " 1\n", + " 2003154.00\n", + " 2.2\n", " Medium\n", - " 9.529412\n", + " 9.342582\n", " \n", " \n", " 2\n", - " EM2150\n", - " Kota Jakarta Timur\n", + " EM7996\n", + " Tangerang\n", " Laki-laki\n", - " 1986-12-27\n", - " 2022-05-22\n", - " 2023-07-05\n", - " Married\n", - " 1\n", + " 1998-02-12\n", + " 2023-05-04\n", + " 2024-06-29\n", + " Single\n", + " 0\n", " SLTA\n", - " 4.0\n", + " 5.0\n", " ...\n", " Mid-term\n", - " 2.600000\n", - " 2\n", + " 2.333333\n", " 1\n", - " 1727468.0\n", " 1\n", - " 1727468.00\n", + " 1394384.0\n", + " 1\n", + " 1394384.00\n", " 3.0\n", " Medium\n", - " 9.288164\n", + " 9.551975\n", " \n", " \n", " 3\n", - " EM6733\n", - " Kabupaten Bogor\n", - " Laki-laki\n", - " 1978-07-12\n", - " 2022-12-07\n", - " 2024-10-31\n", + " EM13978\n", + " Kota Jakarta Barat\n", + " Perempuan\n", + " 1982-12-26\n", + " 2021-09-11\n", + " 2023-04-03\n", " Married\n", - " 4\n", + " 0\n", " D3\n", - " 6.0\n", + " 0.0\n", " ...\n", " Mid-term\n", - " 3.285714\n", - " 5\n", + " 18.000000\n", " 1\n", - " 3745375.0\n", + " 1\n", + " 4151999.0\n", " 4\n", - " 936343.75\n", - " 1.6\n", + " 1037999.75\n", + " 2.6\n", " Medium\n", - " 9.053694\n", + " 9.180000\n", " \n", " \n", " 4\n", - " EM9133\n", - " Kabupaten Bekasi\n", + " EM9860\n", + " Tangerang\n", " Perempuan\n", - " 1994-06-03\n", - " 2023-05-29\n", - " 2023-10-20\n", - " Married\n", + " 1997-03-26\n", + " 2023-06-20\n", + " 2024-10-02\n", + " Single\n", " 0\n", " SLTA\n", - " 0.0\n", + " 15.0\n", " ...\n", - " Short-term\n", - " 4.000000\n", + " Mid-term\n", + " 0.937500\n", " 1\n", " 1\n", - " 2658503.0\n", + " 1560817.0\n", " 1\n", - " 2658503.00\n", - " 1.0\n", + " 1560817.00\n", + " 2.6\n", " Medium\n", - " 9.540000\n", + " 9.414301\n", " \n", " \n", "\n", @@ -1157,63 +1347,63 @@ ], "text/plain": [ " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "0 EM9660 Kota Jakarta Timur Perempuan 1970-07-27 2023-10-09 \n", - "1 EM12614 Tangerang Laki-laki 1972-03-13 2023-12-19 \n", - "2 EM2150 Kota Jakarta Timur Laki-laki 1986-12-27 2022-05-22 \n", - "3 EM6733 Kabupaten Bogor Laki-laki 1978-07-12 2022-12-07 \n", - "4 EM9133 Kabupaten Bekasi Perempuan 1994-06-03 2023-05-29 \n", + "0 EM0406 Kota Jakarta Utara Laki-laki 1975-01-07 2021-09-25 \n", + "1 EM1772 Kabupaten Bogor Perempuan 1993-04-18 2021-02-23 \n", + "2 EM7996 Tangerang Laki-laki 1998-02-12 2023-05-04 \n", + "3 EM13978 Kota Jakarta Barat Perempuan 1982-12-26 2021-09-11 \n", + "4 EM9860 Tangerang Perempuan 1997-03-26 2023-06-20 \n", "\n", " resign_date marriage_stat dependant education absent_90D ... \\\n", - "0 2024-10-31 Single 0 D3 2.0 ... \n", - "1 2024-10-31 Married 1 D1 1.0 ... \n", - "2 2023-07-05 Married 1 SLTA 4.0 ... \n", - "3 2024-10-31 Married 4 D3 6.0 ... \n", - "4 2023-10-20 Married 0 SLTA 0.0 ... \n", + "0 2023-12-07 Married 3 SLTA 3.0 ... \n", + "1 2023-06-24 Married 1 SLTA 2.0 ... \n", + "2 2024-06-29 Single 0 SLTA 5.0 ... \n", + "3 2023-04-03 Married 0 D3 0.0 ... \n", + "4 2024-10-02 Single 0 SLTA 15.0 ... \n", "\n", " active_work_category work_stability_score married_dependent_ratio \\\n", - "0 Mid-term 4.000000 1 \n", - "1 Short-term 5.000000 2 \n", - "2 Mid-term 2.600000 2 \n", - "3 Mid-term 3.285714 5 \n", - "4 Short-term 4.000000 1 \n", + "0 Mid-term 6.500000 4 \n", + "1 Mid-term 9.333333 2 \n", + "2 Mid-term 2.333333 1 \n", + "3 Mid-term 18.000000 1 \n", + "4 Mid-term 0.937500 1 \n", "\n", " position_score job_income_position_score education_score \\\n", - "0 1 4843236.0 4 \n", - "1 1 3491432.0 2 \n", - "2 1 1727468.0 1 \n", - "3 1 3745375.0 4 \n", - "4 1 2658503.0 1 \n", + "0 1 1578410.0 1 \n", + "1 1 2003154.0 1 \n", + "2 1 1394384.0 1 \n", + "3 1 4151999.0 4 \n", + "4 1 1560817.0 1 \n", "\n", " education_income_ratio weighted_satisfaction_performance \\\n", - "0 1210809.00 2.0 \n", - "1 1745716.00 2.6 \n", - "2 1727468.00 3.0 \n", - "3 936343.75 1.6 \n", - "4 2658503.00 1.0 \n", + "0 1578410.00 1.0 \n", + "1 2003154.00 2.2 \n", + "2 1394384.00 3.0 \n", + "3 1037999.75 2.6 \n", + "4 1560817.00 2.6 \n", "\n", " resign_risk_indicator adjusted_work_time \n", - "0 Medium 9.182979 \n", - "1 Medium 9.529412 \n", - "2 Medium 9.288164 \n", - "3 Medium 9.053694 \n", - "4 Medium 9.540000 \n", + "0 Medium 9.797428 \n", + "1 Medium 9.342582 \n", + "2 Medium 9.551975 \n", + "3 Medium 9.180000 \n", + "4 Medium 9.414301 \n", "\n", "[5 rows x 37 columns]" ] }, - "execution_count": 45, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_test = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\data_testing.csv')\n", + "df_test = pd.read_csv('D:/Tugas Akhir/Codingan/Notebook - Playground/preprocessed_data_test_7.csv')\n", "df_test.head()" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1236,10 +1426,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "R² Score: 0.9951390052323061\n", - "Mean Absolute Error (MAE): 0.44852516212478744\n", - "Mean Squared Error (MSE): 1.198342479918863\n", - "Root Mean Squared Error (RMSE): 1.094688302631787\n" + "R² Score: 0.9965371265802584\n", + "Mean Absolute Error (MAE): 0.3994272346412294\n", + "Mean Squared Error (MSE): 0.6346462447604223\n", + "Root Mean Squared Error (RMSE): 0.7966468758241774\n" ] } ], @@ -1251,7 +1441,7 @@ "X_test = df_test.drop(columns=['active_work_months','churn_status', 'employee_id', 'date_of_birth', 'join_date', 'resign_date'])\n", "\n", "# Lakukan prediksi menggunakan model final\n", - "y_pred = final_model.predict(X_test)\n", + "y_pred = model.predict(X_test)\n", "\n", "# Tambahkan prediksi ke DataFrame\n", "X_test['predicted_active_work'] = y_pred\n", @@ -1271,7 +1461,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1321,123 +1511,123 @@ " \n", " \n", " 0\n", - " EM13260\n", - " Kota Jakarta Barat\n", - " Perempuan\n", - " 1976-12-02\n", - " 2020-10-25\n", - " 2023-02-16\n", + " EM0120\n", + " Tangerang\n", + " Laki-laki\n", + " 1990-02-18\n", + " 2023-01-11\n", + " 2024-01-30\n", " Married\n", - " 2\n", + " 1\n", " SLTA\n", - " 8.0\n", + " 11.0\n", " ...\n", " Mid-term\n", - " 3.111111\n", - " 3\n", + " 1.000000\n", + " 2\n", " 1\n", - " 2252793.0\n", + " 1140915.0\n", " 1\n", - " 2.252793e+06\n", - " 2.0\n", + " 1140915.0\n", + " 1.4\n", " Medium\n", - " 9.280456\n", + " 9.393432\n", " \n", " \n", " 1\n", - " EM0533\n", - " Tangerang\n", - " Laki-laki\n", - " 1970-10-08\n", - " 2022-10-05\n", - " 2024-03-25\n", + " EM13985\n", + " Kepulauan Seribu\n", + " Perempuan\n", + " 1987-02-01\n", + " 2022-09-26\n", + " 2023-11-08\n", " Married\n", - " 3\n", + " 1\n", " SLTA\n", - " 14.0\n", + " 0.0\n", " ...\n", " Mid-term\n", - " 1.133333\n", - " 4\n", + " 13.000000\n", + " 2\n", " 1\n", - " 1784520.0\n", + " 2103348.0\n", " 1\n", - " 1.784520e+06\n", + " 2103348.0\n", " 1.8\n", " Medium\n", - " 9.809471\n", + " 9.300000\n", " \n", " \n", " 2\n", - " EM7296\n", - " Kota Depok\n", + " EM2560\n", + " Tangerang\n", " Perempuan\n", - " 1980-05-10\n", - " 2022-07-21\n", - " 2023-09-01\n", - " Married\n", - " 2\n", + " 1999-11-01\n", + " 2023-01-05\n", + " 2024-05-04\n", + " Single\n", + " 0\n", " SLTA\n", - " 14.0\n", + " 10.0\n", " ...\n", " Mid-term\n", - " 0.866667\n", - " 3\n", + " 1.454545\n", " 1\n", - " 1291410.0\n", " 1\n", - " 1.291410e+06\n", + " 2145814.0\n", + " 1\n", + " 2145814.0\n", " 1.6\n", " Medium\n", - " 9.534629\n", + " 9.205670\n", " \n", " \n", " 3\n", - " EM9032\n", - " Kota Depok\n", - " Perempuan\n", - " 1993-10-24\n", - " 2022-07-05\n", - " 2024-01-25\n", - " Married\n", - " 2\n", - " D2\n", - " 7.0\n", + " EM0343\n", + " Kabupaten Bekasi\n", + " Laki-laki\n", + " 1990-10-12\n", + " 2022-02-01\n", + " 2023-07-17\n", + " Single\n", + " 0\n", + " SLTA\n", + " 1.0\n", " ...\n", " Mid-term\n", - " 2.250000\n", - " 3\n", + " 8.500000\n", " 1\n", - " 3909283.0\n", - " 3\n", - " 1.303094e+06\n", - " 1.0\n", + " 1\n", + " 2331081.0\n", + " 1\n", + " 2331081.0\n", + " 2.6\n", " Medium\n", - " 9.468933\n", + " 9.154017\n", " \n", " \n", " 4\n", - " EM11615\n", - " Tangerang\n", - " Laki-laki\n", - " 1987-02-02\n", - " 2022-09-14\n", - " 2023-11-03\n", - " Divorce\n", - " 0\n", + " EM14458\n", + " Kabupaten Bogor\n", + " Perempuan\n", + " 1996-04-24\n", + " 2022-10-23\n", + " 2023-12-30\n", + " Married\n", + " 1\n", " SLTA\n", - " 8.0\n", + " 12.0\n", " ...\n", " Mid-term\n", - " 1.444444\n", + " 1.076923\n", + " 2\n", " 1\n", + " 1798725.0\n", " 1\n", - " 2615265.0\n", - " 1\n", - " 2.615265e+06\n", - " 2.2\n", + " 1798725.0\n", + " 2.6\n", " Medium\n", - " 8.968309\n", + " 9.706741\n", " \n", " \n", "\n", @@ -1445,100 +1635,74 @@ "" ], "text/plain": [ - " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", - "0 EM13260 Kota Jakarta Barat Perempuan 1976-12-02 2020-10-25 \n", - "1 EM0533 Tangerang Laki-laki 1970-10-08 2022-10-05 \n", - "2 EM7296 Kota Depok Perempuan 1980-05-10 2022-07-21 \n", - "3 EM9032 Kota Depok Perempuan 1993-10-24 2022-07-05 \n", - "4 EM11615 Tangerang Laki-laki 1987-02-02 2022-09-14 \n", + " employee_id domisili jenis_kelamin date_of_birth join_date \\\n", + "0 EM0120 Tangerang Laki-laki 1990-02-18 2023-01-11 \n", + "1 EM13985 Kepulauan Seribu Perempuan 1987-02-01 2022-09-26 \n", + "2 EM2560 Tangerang Perempuan 1999-11-01 2023-01-05 \n", + "3 EM0343 Kabupaten Bekasi Laki-laki 1990-10-12 2022-02-01 \n", + "4 EM14458 Kabupaten Bogor Perempuan 1996-04-24 2022-10-23 \n", "\n", " resign_date marriage_stat dependant education absent_90D ... \\\n", - "0 2023-02-16 Married 2 SLTA 8.0 ... \n", - "1 2024-03-25 Married 3 SLTA 14.0 ... \n", - "2 2023-09-01 Married 2 SLTA 14.0 ... \n", - "3 2024-01-25 Married 2 D2 7.0 ... \n", - "4 2023-11-03 Divorce 0 SLTA 8.0 ... \n", + "0 2024-01-30 Married 1 SLTA 11.0 ... \n", + "1 2023-11-08 Married 1 SLTA 0.0 ... \n", + "2 2024-05-04 Single 0 SLTA 10.0 ... \n", + "3 2023-07-17 Single 0 SLTA 1.0 ... \n", + "4 2023-12-30 Married 1 SLTA 12.0 ... \n", "\n", " active_work_category work_stability_score married_dependent_ratio \\\n", - "0 Mid-term 3.111111 3 \n", - "1 Mid-term 1.133333 4 \n", - "2 Mid-term 0.866667 3 \n", - "3 Mid-term 2.250000 3 \n", - "4 Mid-term 1.444444 1 \n", + "0 Mid-term 1.000000 2 \n", + "1 Mid-term 13.000000 2 \n", + "2 Mid-term 1.454545 1 \n", + "3 Mid-term 8.500000 1 \n", + "4 Mid-term 1.076923 2 \n", "\n", " position_score job_income_position_score education_score \\\n", - "0 1 2252793.0 1 \n", - "1 1 1784520.0 1 \n", - "2 1 1291410.0 1 \n", - "3 1 3909283.0 3 \n", - "4 1 2615265.0 1 \n", + "0 1 1140915.0 1 \n", + "1 1 2103348.0 1 \n", + "2 1 2145814.0 1 \n", + "3 1 2331081.0 1 \n", + "4 1 1798725.0 1 \n", "\n", " education_income_ratio weighted_satisfaction_performance \\\n", - "0 2.252793e+06 2.0 \n", - "1 1.784520e+06 1.8 \n", - "2 1.291410e+06 1.6 \n", - "3 1.303094e+06 1.0 \n", - "4 2.615265e+06 2.2 \n", + "0 1140915.0 1.4 \n", + "1 2103348.0 1.8 \n", + "2 2145814.0 1.6 \n", + "3 2331081.0 2.6 \n", + "4 1798725.0 2.6 \n", "\n", " resign_risk_indicator adjusted_work_time \n", - "0 Medium 9.280456 \n", - "1 Medium 9.809471 \n", - "2 Medium 9.534629 \n", - "3 Medium 9.468933 \n", - "4 Medium 8.968309 \n", + "0 Medium 9.393432 \n", + "1 Medium 9.300000 \n", + "2 Medium 9.205670 \n", + "3 Medium 9.154017 \n", + "4 Medium 9.706741 \n", "\n", "[5 rows x 37 columns]" ] }, - "execution_count": 47, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_test = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\data_testing_resign.csv')\n", + "df_test = pd.read_csv('D:/Tugas Akhir/Codingan/Notebook - Playground/preprocessed_data_test_5.csv')\n", "df_test.head()" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Jumlah baris sebelum filter: 809\n", - "Jumlah baris setelah filter: 809\n" - ] - } - ], - "source": [ - "# Memilih hanya kolom numerik\n", - "numerical_columns = df_test.select_dtypes(include=['int64', 'float64']).columns\n", - "\n", - "# Filter: Hanya menyimpan baris yang tidak memiliki nilai negatif\n", - "df_test_filtered = df_test[(df_test[numerical_columns] >= 0).all(axis=1)]\n", - "\n", - "# Menampilkan hasil\n", - "print(\"Jumlah baris sebelum filter:\", df_test.shape[0])\n", - "print(\"Jumlah baris setelah filter:\", df_test_filtered.shape[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "R² Score: 0.9982375650520496\n", - "Mean Absolute Error (MAE): 0.2113292077085458\n", - "Mean Squared Error (MSE): 0.08052087321650396\n", - "Root Mean Squared Error (RMSE): 0.2837620010087749\n" + "R² Score: 0.9965371265802584\n", + "Mean Absolute Error (MAE): 0.3994272346412294\n", + "Mean Squared Error (MSE): 0.6346462447604223\n", + "Root Mean Squared Error (RMSE): 0.7966468758241774\n" ] } ], @@ -1550,7 +1714,7 @@ "X_test = df_test.drop(columns=['active_work_months','churn_status', 'employee_id', 'date_of_birth', 'join_date', 'resign_date'])\n", "\n", "# Lakukan prediksi menggunakan model final\n", - "y_pred = final_model.predict(X_test)\n", + "y_pred = model.predict(X_test)\n", "\n", "# Tambahkan prediksi ke DataFrame\n", "X_test['predicted_active_work'] = y_pred\n", @@ -1986,7 +2150,8 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": ".venv", + "language": "python", "name": "python3" }, "language_info": { @@ -1999,7 +2164,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.16" + "version": "3.10.3" } }, "nbformat": 4,