final in the name of Jesus
This commit is contained in:
@ -1,6 +1,6 @@
|
||||
[mysql]
|
||||
host = "sql12.freesqldatabase.com"
|
||||
host = "localhost"
|
||||
port = 3306
|
||||
user = "sql12763748"
|
||||
password = "34i4clLLEm"
|
||||
dbname = "sql12763748"
|
||||
user = "root"
|
||||
password = ""
|
||||
dbname = "employee_attrition_db"
|
25722
X_train.csv
25722
X_train.csv
File diff suppressed because it is too large
Load Diff
12289
X_train_smote.csv
Normal file
12289
X_train_smote.csv
Normal file
File diff suppressed because it is too large
Load Diff
BIN
clasification_final_model_smote.sav
Normal file
BIN
clasification_final_model_smote.sav
Normal file
Binary file not shown.
15489
data/all_data.csv
Normal file
15489
data/all_data.csv
Normal file
File diff suppressed because it is too large
Load Diff
336
data/df_test_YESUSFIX.csv
Normal file
336
data/df_test_YESUSFIX.csv
Normal file
@ -0,0 +1,336 @@
|
||||
employee_id,domisili,jenis_kelamin,date_of_birth,join_date,resign_date,marriage_stat,dependant,education,absent_90D,avg_time_work,departemen,position,income,total_komp,job_satisfaction,performance_rating,churn_status,age_years,active_work,active_work_months,income_3_months,income_6_months,total_income_work,income_dependant_ratio,work_efficiency,active_work_category,work_stability_score,position_score,job_income_position_score,education_score,education_income_ratio,weighted_satisfaction_performance
|
||||
EM6407,Kota Jakarta Selatan,Laki-laki,1981-03-05,2022-03-13,2023-08-08,Married,3,D3,3.0,9.8,Creative & Design,Manager,6878901.54331365,0.0,High,Outstanding,1,43,513,17,20636704.62994095,41273409.2598819,116941326.23633206,1719725.3858284126,1.225,Mid-term,4.25,4,1719725.3858284126,4,1719725.3858284126,3.4
|
||||
EM6881,Tangerang,Laki-laki,1974-04-26,2022-04-11,2023-05-31,Married,0,D3,2.0,9.39,Marketing,Manager,10531617.780157257,0.0,Very High,Outstanding,1,50,415,13,31594853.34047177,63189706.68094354,136911031.14204434,10531617.780157257,1.17375,Mid-term,4.333333333333333,4,2632904.445039314,4,2632904.445039314,4.0
|
||||
EM9588,Kota Depok,Perempuan,1980-01-08,2022-02-22,2023-08-30,Married,3,D1,4.0,9.49,Operations,Manager,7823164.9733736385,0.0,Very High,Excellent,1,44,554,18,23469494.92012092,46938989.84024184,140816969.5207255,1955791.2433434096,1.18625,Mid-term,3.6,4,1955791.2433434096,2,3911582.4866868192,3.6
|
||||
EM6817,Kota Jakarta Timur,Perempuan,1985-06-15,2021-09-04,2023-01-13,Married,2,SLTA,10.0,9.05,HR,Staff,2480953.0,0.0,Low,Low,1,39,496,16,7442859.0,14885718.0,39695248.0,826984.3333333334,1.13125,Mid-term,1.4545454545454546,1,2480953.0,1,2480953.0,1.0
|
||||
EM0933,Kota Jakarta Timur,Laki-laki,1981-10-31,2022-03-20,2024-09-08,Married,1,SLTA,7.0,9.13,Engineering & IT,Manager,9728456.147794845,0.0,Very High,Outstanding,1,43,903,30,29185368.443384536,58370736.88676907,291853684.43384534,4864228.073897422,1.14125,Mid-term,3.75,4,2432114.036948711,1,9728456.147794845,4.0
|
||||
EM13290,Tangerang,Perempuan,1993-12-19,2021-01-19,2023-02-28,Married,1,SLTA,8.0,9.56,Marketing,Staff,2680648.0,0.0,Low,Good,1,30,770,25,8041944.0,16083888.0,67016200.0,1340324.0,1.195,Mid-term,2.7777777777777777,1,2680648.0,1,2680648.0,1.4
|
||||
EM7699,Kabupaten Bogor,Laki-laki,1969-03-04,2021-01-09,2023-03-15,Married,2,D3,1.0,9.53,Creative & Design,Manager,9548237.650380518,0.0,High,Excellent,1,55,795,26,28644712.951141555,57289425.90228311,248254178.90989348,3182745.883460173,1.19125,Mid-term,13.0,4,2387059.4125951296,4,2387059.4125951296,3.0
|
||||
EM1925,Kabupaten Bekasi,Laki-laki,1987-03-23,2022-06-20,2024-08-14,Married,3,SLTA,7.0,9.56,HR,Staff,1281462.0,0.0,High,Low,1,37,786,26,3844386.0,7688772.0,33318012.0,320365.5,1.195,Mid-term,3.25,1,1281462.0,1,1281462.0,2.2
|
||||
EM8149,Kota Jakarta Barat,Perempuan,1990-01-23,2022-09-26,2024-05-14,Married,2,D1,5.0,9.34,Engineering & IT,Staff,3788542.0,0.0,Medium,Excellent,1,34,596,19,11365626.0,22731252.0,71982298.0,1262847.3333333333,1.1675,Mid-term,3.1666666666666665,1,3788542.0,2,1894271.0,2.4000000000000004
|
||||
EM13598,Kabupaten Bekasi,Laki-laki,1997-08-28,2021-08-14,2023-10-17,Married,0,D3,4.0,9.21,Corporate Strategy & Communications,Staff,3565187.0,0.0,Low,Excellent,1,27,794,26,10695561.0,21391122.0,92694862.0,3565187.0,1.15125,Mid-term,5.2,1,3565187.0,4,891296.75,1.8000000000000005
|
||||
EM2484,Kota Depok,Laki-laki,1990-06-02,2023-05-08,2024-06-29,Single,0,SLTA,11.0,9.79,Finance & Accounting,Staff,1257241.0,0.0,High,Excellent,1,34,418,13,3771723.0,7543446.0,16344133.0,1257241.0,1.22375,Mid-term,1.0833333333333333,1,1257241.0,1,1257241.0,3.0
|
||||
EM9251,Kota Depok,Laki-laki,1997-04-01,2022-05-06,2024-05-27,Married,1,SLTA,8.0,9.44,Service & Support,Staff,1317786.0,0.0,Medium,Good,1,27,752,25,3953358.0,7906716.0,32944650.0,658893.0,1.18,Mid-term,2.7777777777777777,1,1317786.0,1,1317786.0,2.0
|
||||
EM7654,Kota Jakarta Barat,Perempuan,1985-03-19,2021-07-31,2023-12-30,Single,0,SLTA,0.0,9.29,Creative & Design,Staff,1233087.0,0.0,Low,Excellent,1,39,882,29,3699261.0,7398522.0,35759523.0,1233087.0,1.16125,Mid-term,29.0,1,1233087.0,1,1233087.0,1.8000000000000005
|
||||
EM12799,Kota Depok,Perempuan,1990-09-30,2021-08-11,2023-11-03,Married,2,D1,4.0,9.16,HR,Staff,4707829.0,0.0,Medium,Excellent,1,34,814,27,14123487.0,28246974.0,127111383.0,1569276.3333333333,1.145,Mid-term,5.4,1,4707829.0,2,2353914.5,2.4000000000000004
|
||||
EM6257,Kabupaten Bogor,Perempuan,1975-02-15,2022-01-03,2024-02-06,Married,3,SLTA,5.0,9.16,Service & Support,Manager,11164460.75641185,0.0,High,Outstanding,1,49,764,25,33493382.26923555,66986764.5384711,279111518.91029626,2791115.1891029626,1.145,Mid-term,4.166666666666667,4,2791115.1891029626,1,11164460.75641185,3.4
|
||||
EM13455,Kota Jakarta Pusat,Laki-laki,1982-01-18,2022-06-14,2024-10-05,Married,3,D2,2.0,9.52,Operations,Senior,8258380.53196532,0.0,High,Excellent,1,42,844,28,24775141.59589596,49550283.19179192,231234654.89502892,2064595.13299133,1.19,Mid-term,9.333333333333334,3,2752793.5106551065,3,2752793.5106551065,3.0
|
||||
EM1118,Kota Jakarta Timur,Laki-laki,1987-04-21,2022-08-24,2024-10-25,Married,2,SLTA,2.0,9.52,HR,Staff,1290173.0,0.0,Medium,Excellent,1,37,793,26,3870519.0,7741038.0,33544498.0,430057.6666666667,1.19,Mid-term,8.666666666666666,1,1290173.0,1,1290173.0,2.4000000000000004
|
||||
EM12411,Kabupaten Bogor,Laki-laki,1988-03-20,2021-03-27,2023-05-02,Married,2,D1,3.0,9.9,Marketing,Staff,4450571.0,0.0,Medium,Low,1,36,766,25,13351713.0,26703426.0,111264275.0,1483523.6666666667,1.2375,Mid-term,6.25,1,4450571.0,2,2225285.5,1.6
|
||||
EM4549,Kabupaten Bogor,Laki-laki,1982-11-26,2021-01-31,2023-03-12,Married,3,D2,6.0,9.25,Finance & Accounting,Senior,9121981.024629004,0.0,High,Excellent,1,41,770,25,27365943.073887013,54731886.147774026,228049525.6157251,2280495.256157251,1.15625,Mid-term,3.571428571428572,3,3040660.3415430016,3,3040660.3415430016,3.0
|
||||
EM9559,Tangerang,Laki-laki,1987-10-10,2021-11-06,2023-02-01,Married,2,SLTA,6.0,9.66,Engineering & IT,Staff,1788112.0,0.0,Medium,Low,1,37,452,15,5364336.0,10728672.0,26821680.0,596037.3333333334,1.2075,Mid-term,2.142857142857143,1,1788112.0,1,1788112.0,1.6
|
||||
EM12344,Kepulauan Seribu,Laki-laki,1985-04-16,2022-09-15,2023-11-14,Married,2,SLTA,1.0,9.45,Corporate Strategy & Communications,Staff,2530694.0,0.0,High,Excellent,1,39,425,14,7592082.0,15184164.0,35429716.0,843564.6666666666,1.18125,Mid-term,7.0,1,2530694.0,1,2530694.0,3.0
|
||||
EM0606,Kota Bogor,Laki-laki,1987-08-01,2023-06-12,2024-08-07,Divorce,0,SLTA,7.0,9.41,Creative & Design,Staff,2928866.0,0.0,Medium,Excellent,1,37,422,14,8786598.0,17573196.0,41004124.0,2928866.0,1.17625,Mid-term,1.75,1,2928866.0,1,2928866.0,2.4000000000000004
|
||||
EM7738,Kabupaten Bogor,Laki-laki,1998-07-23,2021-05-31,2023-09-21,Single,0,D3,4.0,9.0,Service & Support,Staff,4354517.0,0.0,Low,Good,1,26,843,28,13063551.0,26127102.0,121926476.0,4354517.0,1.125,Mid-term,5.6,1,4354517.0,4,1088629.25,1.4
|
||||
EM0120,Tangerang,Laki-laki,1990-02-18,2023-01-11,2024-01-30,Married,1,SLTA,11.0,9.49,Marketing,Staff,1140915.0,0.0,Low,Good,1,34,384,12,3422745.0,6845490.0,13690980.0,570457.5,1.18625,Mid-term,1.0,1,1140915.0,1,1140915.0,1.4
|
||||
EM6712,Kota Jakarta Timur,Laki-laki,1987-05-22,2021-10-09,2023-06-23,Married,2,SLTA,0.0,9.84,HR,Staff,2612876.0,0.0,Medium,Excellent,1,37,622,20,7838628.0,15677256.0,52257520.0,870958.6666666666,1.23,Mid-term,20.0,1,2612876.0,1,2612876.0,2.4000000000000004
|
||||
EM4221,Kabupaten Bogor,Laki-laki,1983-12-19,2022-02-06,2023-06-15,Married,3,D2,1.0,9.74,HR,Staff,4379532.0,0.0,Low,Low,1,40,494,16,13138596.0,26277192.0,70072512.0,1094883.0,1.2175,Mid-term,8.0,1,4379532.0,3,1459844.0,1.0
|
||||
EM1806,Kota Jakarta Timur,Laki-laki,1982-06-25,2022-08-03,2023-09-06,Married,3,D2,7.0,9.27,Operations,Manager,6886938.289065498,0.0,High,Outstanding,1,42,399,13,20660814.867196493,41321629.734392986,89530197.75785147,1721734.5722663745,1.15875,Mid-term,1.625,4,1721734.5722663745,3,2295646.096355166,3.4
|
||||
EM4491,Kabupaten Bekasi,Laki-laki,1997-12-16,2021-09-01,2023-11-01,Single,0,SLTA,2.0,9.67,Marketing,Staff,2597126.0,0.0,High,Low,1,26,791,26,7791378.0,15582756.0,67525276.0,2597126.0,1.20875,Mid-term,8.666666666666666,1,2597126.0,1,2597126.0,2.2
|
||||
EM7642,Kota Jakarta Barat,Laki-laki,1991-01-03,2023-06-12,2024-09-06,Divorce,0,SLTA,4.0,9.29,Finance & Accounting,Staff,1987115.0,0.0,Low,Low,1,33,452,15,5961345.0,11922690.0,29806725.0,1987115.0,1.16125,Mid-term,3.0,1,1987115.0,1,1987115.0,1.0
|
||||
EM13870,Kota Jakarta Timur,Perempuan,1983-03-07,2021-11-29,2024-03-15,Married,0,SLTA,8.0,9.28,Corporate Strategy & Communications,Senior,8266143.195826839,0.0,Very High,Excellent,1,41,837,27,24798429.587480515,49596859.17496103,223185866.28732464,8266143.195826839,1.16,Mid-term,3.0,3,2755381.0652756128,1,8266143.195826839,3.6
|
||||
EM6844,Kota Jakarta Timur,Perempuan,1991-05-07,2022-12-29,2024-02-29,Married,1,D1,0.0,9.14,Corporate Strategy & Communications,Staff,3377994.0,0.0,High,Excellent,1,33,427,14,10133982.0,20267964.0,47291916.0,1688997.0,1.1425,Mid-term,0.0,1,3377994.0,2,1688997.0,3.0
|
||||
EM3331,Kota Jakarta Selatan,Laki-laki,1997-06-08,2023-08-09,2024-10-16,Single,0,D1,2.0,9.46,Operations,Staff,3283258.0,0.0,High,Good,1,27,434,14,9849774.0,19699548.0,45965612.0,3283258.0,1.1825,Mid-term,4.666666666666667,1,3283258.0,2,1641629.0,2.6
|
||||
EM4996,Kabupaten Bekasi,Laki-laki,1994-11-11,2021-03-13,2023-04-03,Single,0,D2,4.0,9.88,Service & Support,Staff,3697440.0,0.0,High,Low,1,29,751,25,11092320.0,22184640.0,92436000.0,3697440.0,1.235,Mid-term,5.0,1,3697440.0,3,1232480.0,2.2
|
||||
EM13045,Kota Jakarta Selatan,Perempuan,1982-12-28,2023-01-03,2024-07-27,Married,2,SLTA,3.0,9.4,Operations,Manager,6205652.5665369,0.0,Very High,Excellent,1,41,571,19,18616957.6996107,37233915.3992214,117907398.76420107,2068550.8555123,1.175,Mid-term,4.75,4,1551413.141634225,1,6205652.5665369,3.6
|
||||
EM10777,Kota Depok,Laki-laki,1983-05-15,2023-07-11,2024-10-03,Married,1,SLTA,13.0,9.43,Marketing,Senior,8298900.8628319055,0.0,High,Excellent,1,41,450,15,24896702.58849572,49793405.17699143,124483512.94247858,4149450.4314159527,1.17875,Mid-term,1.0714285714285714,3,2766300.287610635,1,8298900.8628319055,3.0
|
||||
EM5814,Kota Jakarta Barat,Laki-laki,1999-10-31,2022-12-09,2024-01-06,Single,0,SLTA,0.0,9.57,Marketing,Staff,1263298.0,0.0,Low,Good,1,25,393,13,3789894.0,7579788.0,16422874.0,1263298.0,1.19625,Mid-term,0.0,1,1263298.0,1,1263298.0,1.4
|
||||
EM2805,Tangerang,Perempuan,1974-06-08,2023-05-05,2024-05-29,Married,4,SLTA,8.0,9.82,Finance & Accounting,Manager,12912750.551653266,0.0,Very High,Outstanding,1,50,390,13,38738251.6549598,77476503.3099196,167865757.17149246,2582550.1103306534,1.2275,Mid-term,1.4444444444444444,4,3228187.6379133165,1,12912750.551653266,4.0
|
||||
EM6494,Kota Jakarta Timur,Perempuan,1988-05-11,2021-11-21,2024-05-16,Divorce,0,D3,7.0,9.38,Marketing,Staff,4805501.0,0.0,Low,Low,1,36,907,30,14416503.0,28833006.0,144165030.0,4805501.0,1.1725,Mid-term,3.75,1,4805501.0,4,1201375.25,1.0
|
||||
EM14626,Tangerang,Perempuan,1976-06-02,2021-12-27,2024-01-23,Married,5,SLTA,12.0,9.7,HR,Senior,12276104.364689242,0.0,High,Outstanding,1,48,757,25,36828313.09406772,73656626.18813545,306902609.1172311,2046017.3941148736,1.2125,Mid-term,1.9230769230769231,3,4092034.788229747,1,12276104.364689242,3.4
|
||||
EM2962,Kota Jakarta Timur,Laki-laki,1975-03-06,2022-08-09,2023-12-22,Married,2,D2,8.0,9.25,Marketing,Senior,7192818.748572595,0.0,Very High,Outstanding,1,49,500,16,21578456.245717783,43156912.49143557,115085099.97716153,2397606.2495241985,1.15625,Mid-term,1.7777777777777777,3,2397606.2495241985,3,2397606.2495241985,4.0
|
||||
EM6156,Kota Jakarta Pusat,Laki-laki,1986-06-22,2022-01-16,2023-03-30,Married,2,D1,6.0,9.52,Creative & Design,Staff,3378148.0,0.0,High,Excellent,1,38,438,14,10134444.0,20268888.0,47294072.0,1126049.3333333333,1.19,Mid-term,2.0,1,3378148.0,2,1689074.0,3.0
|
||||
EM8755,Kota Jakarta Timur,Laki-laki,1980-05-10,2023-02-14,2024-03-22,Married,2,SLTA,0.0,9.09,Service & Support,Manager,13656150.236004194,0.0,High,Outstanding,1,44,402,13,40968450.70801258,81936901.41602516,177529953.06805453,4552050.078668064,1.13625,Mid-term,13.0,4,3414037.559001049,1,13656150.236004194,3.4
|
||||
EM6638,Kota Jakarta Selatan,Laki-laki,1995-10-24,2023-03-08,2024-04-28,Married,1,SLTA,11.0,9.6,Marketing,Staff,1324177.0,0.0,High,Low,1,29,417,13,3972531.0,7945062.0,17214301.0,662088.5,1.2,Mid-term,1.0833333333333333,1,1324177.0,1,1324177.0,2.2
|
||||
EM8936,Kabupaten Bekasi,Perempuan,1992-12-11,2021-08-30,2024-01-18,Married,1,D1,2.0,9.35,Corporate Strategy & Communications,Staff,4337517.0,0.0,Low,Good,1,31,871,29,13012551.0,26025102.0,125787993.0,2168758.5,1.16875,Mid-term,9.666666666666666,1,4337517.0,2,2168758.5,1.4
|
||||
EM11880,Kota Jakarta Timur,Laki-laki,1980-03-02,2021-12-28,2024-04-02,Married,5,SLTA,0.0,9.56,Creative & Design,Manager,14804160.839872971,0.0,Very High,Outstanding,1,44,826,27,44412482.51961891,88824965.03923783,399712342.67657024,2467360.1399788284,1.195,Mid-term,27.0,4,3701040.209968243,1,14804160.839872971,4.0
|
||||
EM10654,Kota Jakarta Selatan,Perempuan,1977-12-19,2021-06-05,2023-09-06,Married,1,SLTA,6.0,9.76,Finance & Accounting,Manager,11663545.23453703,0.0,Very High,Excellent,1,46,823,27,34990635.70361109,69981271.40722218,314915721.3324998,5831772.617268515,1.22,Mid-term,3.857142857142857,4,2915886.3086342574,1,11663545.23453703,3.6
|
||||
EM0714,Kabupaten Bekasi,Laki-laki,1977-06-26,2021-06-26,2023-10-02,Married,2,D1,1.0,9.37,Corporate Strategy & Communications,Manager,8072295.557417635,0.0,High,Excellent,1,47,828,27,24216886.672252905,48433773.34450581,217951980.05027613,2690765.185805878,1.17125,Mid-term,13.5,4,2018073.8893544087,2,4036147.7787088174,3.0
|
||||
EM10975,Tangerang,Perempuan,1975-04-03,2023-02-20,2024-06-08,Married,2,D1,4.0,9.59,HR,Senior,8461192.035125906,0.0,Very High,Outstanding,1,49,474,15,25383576.10537772,50767152.21075544,126917880.52688858,2820397.3450419684,1.19875,Mid-term,3.0,3,2820397.3450419684,2,4230596.017562953,4.0
|
||||
EM10994,Tangerang,Perempuan,1995-06-15,2021-06-07,2023-06-28,Single,0,SLTA,9.0,9.04,Engineering & IT,Staff,1249223.0,0.0,Medium,Good,1,29,751,25,3747669.0,7495338.0,31230575.0,1249223.0,1.13,Mid-term,2.5,1,1249223.0,1,1249223.0,2.0
|
||||
EM1219,Kota Jakarta Utara,Perempuan,1986-11-25,2023-07-03,2024-08-31,Married,3,SLTA,4.0,9.07,Marketing,Staff,1031960.0,0.0,Low,Good,1,37,425,14,3095880.0,6191760.0,14447440.0,257990.0,1.13375,Mid-term,2.8,1,1031960.0,1,1031960.0,1.4
|
||||
EM10156,Kota Jakarta Utara,Laki-laki,1977-07-22,2021-02-02,2023-04-29,Married,1,SLTA,4.0,9.35,Creative & Design,Senior,8348030.085391605,0.0,High,Outstanding,1,47,816,27,25044090.256174818,50088180.51234964,225396812.3055733,4174015.042695802,1.16875,Mid-term,5.4,3,2782676.695130535,1,8348030.085391605,3.4
|
||||
EM5186,Kota Bogor,Laki-laki,1992-04-20,2022-11-02,2024-01-08,Married,0,SLTA,8.0,9.35,Engineering & IT,Staff,2516060.0,0.0,Low,Good,1,32,432,14,7548180.0,15096360.0,35224840.0,2516060.0,1.16875,Mid-term,1.5555555555555556,1,2516060.0,1,2516060.0,1.4
|
||||
EM6696,Kabupaten Bekasi,Perempuan,1996-04-02,2022-09-11,2023-10-05,Married,1,SLTA,12.0,9.71,Corporate Strategy & Communications,Staff,1190377.0,0.0,Medium,Excellent,1,28,389,12,3571131.0,7142262.0,14284524.0,595188.5,1.21375,Mid-term,0.9230769230769232,1,1190377.0,1,1190377.0,2.4000000000000004
|
||||
EM0334,Kabupaten Bogor,Laki-laki,1989-08-01,2020-12-26,2023-04-02,Married,0,SLTA,5.0,9.1,Service & Support,Staff,2050642.0,0.0,Medium,Good,1,35,827,27,6151926.0,12303852.0,55367334.0,2050642.0,1.1375,Mid-term,4.5,1,2050642.0,1,2050642.0,2.0
|
||||
EM8305,Kota Depok,Perempuan,1975-08-04,2021-02-13,2023-03-07,Married,3,SLTA,0.0,9.75,Service & Support,Senior,9134476.90306862,0.0,High,Outstanding,1,49,752,25,27403430.709205866,54806861.41841173,228361922.57671556,2283619.225767155,1.21875,Mid-term,25.0,3,3044825.6343562067,1,9134476.90306862,3.4
|
||||
EM7604,Kabupaten Bekasi,Perempuan,1998-05-03,2021-01-30,2023-08-16,Single,0,D1,7.0,9.9,Marketing,Staff,4629055.0,0.0,Low,Good,1,26,928,30,13887165.0,27774330.0,138871650.0,4629055.0,1.2375,Mid-term,3.75,1,4629055.0,2,2314527.5,1.4
|
||||
EM2000,Kota Depok,Laki-laki,1976-07-07,2022-01-04,2023-03-13,Married,3,D2,4.0,9.06,Engineering & IT,Manager,7365825.957236089,0.0,Very High,Outstanding,1,48,433,14,22097477.871708263,44194955.74341653,103121563.40130524,1841456.4893090224,1.1325,Mid-term,2.8,4,1841456.4893090224,3,2455275.3190786964,4.0
|
||||
EM5446,Kabupaten Bogor,Perempuan,1996-02-04,2020-11-13,2023-04-04,Married,0,SLTA,12.0,9.41,Engineering & IT,Staff,1679648.0,0.0,High,Excellent,1,28,872,29,5038944.0,10077888.0,48709792.0,1679648.0,1.17625,Mid-term,2.230769230769231,1,1679648.0,1,1679648.0,3.0
|
||||
EM0732,Kota Jakarta Selatan,Laki-laki,1981-03-17,2022-08-04,2024-09-13,Married,2,SLTA,8.0,9.73,Corporate Strategy & Communications,Manager,13794755.020250134,0.0,Very High,Outstanding,1,43,771,25,41384265.0607504,82768530.1215008,344868875.50625336,4598251.673416711,1.21625,Mid-term,2.7777777777777777,4,3448688.755062533,1,13794755.020250134,4.0
|
||||
EM1681,Kabupaten Bogor,Laki-laki,1977-11-29,2021-05-24,2023-04-18,Married,3,D2,4.0,9.16,Finance & Accounting,Manager,7651358.979103697,0.0,Very High,Excellent,1,46,694,23,22954076.93731109,45908153.87462218,175981256.51938504,1912839.7447759244,1.145,Mid-term,4.6,4,1912839.7447759244,3,2550452.993034566,3.6
|
||||
EM0957,Kota Jakarta Selatan,Perempuan,1998-11-24,2022-07-05,2024-10-31,Married,2,SLTA,10.0,9.38,Creative & Design,Staff,2615137.0,0.0,Medium,Good,1,25,849,28,7845411.0,15690822.0,73223836.0,871712.3333333334,1.1725,Mid-term,2.5454545454545454,1,2615137.0,1,2615137.0,2.0
|
||||
EM2655,Tangerang,Perempuan,1990-04-06,2020-12-29,2023-03-31,Married,0,SLTA,2.0,9.33,Operations,Staff,2516266.0,0.0,High,Good,1,34,822,27,7548798.0,15097596.0,67939182.0,2516266.0,1.16625,Mid-term,9.0,1,2516266.0,1,2516266.0,2.6
|
||||
EM8691,Kota Jakarta Barat,Laki-laki,1991-08-23,2022-09-18,2023-10-17,Divorce,1,SLTA,8.0,9.53,Operations,Staff,1772635.0,0.0,Medium,Excellent,1,33,394,13,5317905.0,10635810.0,23044255.0,886317.5,1.19125,Mid-term,1.4444444444444444,1,1772635.0,1,1772635.0,2.4000000000000004
|
||||
EM3957,Kabupaten Bogor,Laki-laki,1995-06-24,2022-10-17,2023-11-18,Single,0,SLTA,11.0,9.88,Marketing,Staff,1860461.0,0.0,Medium,Excellent,1,29,397,13,5581383.0,11162766.0,24185993.0,1860461.0,1.235,Mid-term,1.0833333333333333,1,1860461.0,1,1860461.0,2.4000000000000004
|
||||
EM13699,Kota Depok,Laki-laki,1982-06-27,2022-07-25,2023-09-14,Married,2,SLTA,7.0,9.04,Service & Support,Senior,12702802.410917234,0.0,Very High,Excellent,1,42,416,13,38108407.2327517,76216814.4655034,165136431.34192404,4234267.470305745,1.13,Mid-term,1.625,3,4234267.470305745,1,12702802.410917234,3.6
|
||||
EM4106,Kota Jakarta Timur,Perempuan,1989-03-15,2023-01-30,2024-08-24,Married,2,D2,9.0,9.57,Creative & Design,Staff,3329871.0,0.0,Low,Low,1,35,572,19,9989613.0,19979226.0,63267549.0,1109957.0,1.19625,Mid-term,1.9,1,3329871.0,3,1109957.0,1.0
|
||||
EM8808,Kabupaten Bogor,Perempuan,1984-02-02,2022-07-18,2024-02-23,Married,1,D2,4.0,9.43,Corporate Strategy & Communications,Staff,4168170.0,0.0,High,Low,1,40,585,19,12504510.0,25009020.0,79195230.0,2084085.0,1.17875,Mid-term,3.8,1,4168170.0,3,1389390.0,2.2
|
||||
EM9166,Kabupaten Bekasi,Perempuan,1997-08-15,2020-08-03,2022-09-15,Single,0,D3,7.0,9.82,Service & Support,Staff,3709512.0,0.0,Low,Low,1,27,773,25,11128536.0,22257072.0,92737800.0,3709512.0,1.2275,Mid-term,3.125,1,3709512.0,4,927378.0,1.0
|
||||
EM7881,Kota Jakarta Timur,Perempuan,1995-02-21,2023-06-05,2024-08-18,Married,2,SLTA,6.0,9.49,Operations,Staff,1179269.0,0.0,High,Excellent,1,29,440,14,3537807.0,7075614.0,16509766.0,393089.6666666667,1.18625,Mid-term,2.0,1,1179269.0,1,1179269.0,3.0
|
||||
EM6461,Kota Jakarta Pusat,Laki-laki,1992-06-17,2022-08-14,2023-09-18,Married,1,SLTA,13.0,9.17,Operations,Staff,1691643.0,0.0,High,Good,1,32,400,13,5074929.0,10149858.0,21991359.0,845821.5,1.14625,Mid-term,0.9285714285714286,1,1691643.0,1,1691643.0,2.6
|
||||
EM8625,Kabupaten Bekasi,Perempuan,1988-02-25,2023-01-04,2024-08-15,Married,4,D3,5.0,9.14,Creative & Design,Staff,4414311.0,0.0,Medium,Excellent,1,36,589,19,13242933.0,26485866.0,83871909.0,882862.2,1.1425,Mid-term,3.1666666666666665,1,4414311.0,4,1103577.75,2.4000000000000004
|
||||
EM11292,Kota Depok,Perempuan,1981-06-30,2021-12-14,2023-04-02,Married,1,D3,4.0,9.18,Corporate Strategy & Communications,Senior,8450343.642112257,0.0,High,Excellent,1,43,474,15,25351030.926336773,50702061.852673545,126755154.63168386,4225171.8210561285,1.1475,Mid-term,3.0,3,2816781.214037419,4,2112585.910528064,3.0
|
||||
EM10233,Kota Jakarta Timur,Laki-laki,1977-09-16,2021-09-26,2024-04-19,Married,0,D3,2.0,9.64,Service & Support,Manager,10177520.586911242,0.0,Very High,Excellent,1,47,936,31,30532561.760733727,61065123.521467455,315503138.1942485,10177520.586911242,1.205,Mid-term,10.333333333333334,4,2544380.1467278106,4,2544380.1467278106,3.6
|
||||
EM6239,Tangerang,Laki-laki,2000-04-09,2020-10-26,2023-02-15,Single,0,SLTA,10.0,9.16,Corporate Strategy & Communications,Staff,1696788.0,0.0,Low,Excellent,1,24,842,28,5090364.0,10180728.0,47510064.0,1696788.0,1.145,Mid-term,2.5454545454545454,1,1696788.0,1,1696788.0,1.8000000000000005
|
||||
EM8344,Kota Jakarta Pusat,Perempuan,1975-08-12,2022-07-10,2024-09-06,Married,4,SLTA,12.0,9.42,Marketing,Senior,11898456.934775451,0.0,High,Outstanding,1,49,789,26,35695370.804326355,71390741.60865271,309359880.3041617,2379691.3869550903,1.1775,Mid-term,2.0,3,3966152.311591817,1,11898456.934775451,3.4
|
||||
EM9058,Kota Jakarta Timur,Laki-laki,1975-03-05,2022-09-27,2024-04-26,Married,3,SLTA,9.0,9.04,Engineering & IT,Senior,11904291.32554055,0.0,Very High,Excellent,1,49,577,19,35712873.97662165,71425747.9532433,226181535.1852705,2976072.831385137,1.13,Mid-term,1.9,3,3968097.108513517,1,11904291.32554055,3.6
|
||||
EM11787,Kepulauan Seribu,Laki-laki,1977-03-25,2021-03-06,2023-09-03,Married,2,D1,2.0,9.27,Creative & Design,Senior,9197843.233182652,0.0,Very High,Excellent,1,47,911,30,27593529.699547958,55187059.39909591,275935296.9954796,3065947.744394217,1.15875,Mid-term,10.0,3,3065947.744394217,2,4598921.616591326,3.6
|
||||
EM12999,Kota Jakarta Barat,Laki-laki,1987-12-23,2023-08-11,2024-10-13,Married,2,D1,8.0,9.47,Finance & Accounting,Staff,3345087.0,0.0,Medium,Low,1,36,429,14,10035261.0,20070522.0,46831218.0,1115029.0,1.18375,Mid-term,1.5555555555555556,1,3345087.0,2,1672543.5,1.6
|
||||
EM1460,Tangerang,Perempuan,1993-07-27,2023-08-03,2024-09-25,Married,2,SLTA,10.0,9.61,Finance & Accounting,Staff,1543967.0,0.0,High,Excellent,1,31,419,13,4631901.0,9263802.0,20071571.0,514655.6666666667,1.20125,Mid-term,1.181818181818182,1,1543967.0,1,1543967.0,3.0
|
||||
EM5674,Kabupaten Bogor,Perempuan,1982-02-19,2023-09-06,2024-10-16,Married,2,SLTA,8.0,9.05,HR,Senior,12058362.75168206,0.0,Very High,Outstanding,1,42,406,13,36175088.25504618,72350176.51009236,156758715.77186677,4019454.2505606874,1.13125,Mid-term,1.4444444444444444,3,4019454.2505606874,1,12058362.75168206,4.0
|
||||
EM12004,Tangerang,Laki-laki,1997-08-01,2021-01-25,2023-08-14,Married,1,D3,8.0,9.28,Engineering & IT,Staff,4335137.0,0.0,Low,Excellent,1,27,931,31,13005411.0,26010822.0,134389247.0,2167568.5,1.16,Mid-term,3.4444444444444446,1,4335137.0,4,1083784.25,1.8000000000000005
|
||||
EM13059,Kota Depok,Perempuan,1987-09-10,2021-02-14,2023-05-08,Married,0,D1,5.0,9.37,Finance & Accounting,Staff,4567550.0,0.0,Medium,Good,1,37,813,27,13702650.0,27405300.0,123323850.0,4567550.0,1.17125,Mid-term,4.5,1,4567550.0,2,2283775.0,2.0
|
||||
EM8669,Kabupaten Bekasi,Laki-laki,1976-03-05,2023-07-05,2024-10-02,Married,3,SLTA,0.0,9.45,Engineering & IT,Senior,8085227.775001142,0.0,Very High,Outstanding,1,48,455,15,24255683.325003427,48511366.65000685,121278416.62501714,2021306.9437502853,1.18125,Mid-term,15.0,3,2695075.9250003807,1,8085227.775001142,4.0
|
||||
EM1570,Kabupaten Bekasi,Perempuan,1975-08-11,2021-07-11,2023-08-31,Married,3,SLTA,11.0,9.09,Finance & Accounting,Senior,12526436.581364712,0.0,High,Outstanding,1,49,781,26,37579309.74409413,75158619.48818827,325687351.1154825,3131609.145341178,1.13625,Mid-term,2.1666666666666665,3,4175478.860454904,1,12526436.581364712,3.4
|
||||
EM4025,Kota Jakarta Selatan,Perempuan,1982-01-16,2021-05-25,2023-07-28,Divorce,1,D3,7.0,9.21,Operations,Senior,7551670.587417145,0.0,High,Excellent,1,42,794,26,22655011.76225144,45310023.52450287,196343435.27284577,3775835.2937085726,1.15125,Mid-term,3.25,3,2517223.5291390484,4,1887917.6468542863,3.0
|
||||
EM6571,Kota Depok,Perempuan,1983-04-09,2023-08-21,2024-10-12,Married,2,SLTA,11.0,9.32,Corporate Strategy & Communications,Senior,14434776.08701675,0.0,High,Excellent,1,41,418,13,43304328.261050254,86608656.52210051,187652089.13121772,4811592.029005583,1.165,Mid-term,1.0833333333333333,3,4811592.029005583,1,14434776.08701675,3.0
|
||||
EM1166,Kota Jakarta Pusat,Laki-laki,1986-06-27,2022-01-16,2024-10-02,Married,2,D3,4.0,9.67,HR,Staff,4455742.0,0.0,Low,Excellent,1,38,990,33,13367226.0,26734452.0,147039486.0,1485247.3333333333,1.20875,Mid-term,6.6,1,4455742.0,4,1113935.5,1.8000000000000005
|
||||
EM6687,Kota Jakarta Timur,Perempuan,1987-07-15,2022-08-16,2024-01-17,Married,3,D3,0.0,9.21,Marketing,Staff,4529601.0,0.0,Low,Excellent,1,37,519,17,13588803.0,27177606.0,77003217.0,1132400.25,1.15125,Mid-term,17.0,1,4529601.0,4,1132400.25,1.8000000000000005
|
||||
EM14066,Kota Jakarta Selatan,Perempuan,1969-02-08,2023-05-02,2024-08-03,Married,3,D3,7.0,9.37,Corporate Strategy & Communications,Senior,6982987.10989047,0.0,Very High,Outstanding,1,55,459,15,20948961.329671413,41897922.659342825,104744806.64835703,1745746.7774726176,1.17125,Mid-term,1.875,3,2327662.36996349,4,1745746.7774726176,4.0
|
||||
EM3445,Kabupaten Bekasi,Perempuan,1978-04-09,2022-08-03,2023-12-29,Married,2,SLTA,2.0,9.47,Finance & Accounting,Manager,13312782.395654771,0.0,Very High,Outstanding,1,46,513,17,39938347.18696432,79876694.37392864,226317300.7261311,4437594.131884924,1.18375,Mid-term,5.666666666666667,4,3328195.598913693,1,13312782.395654771,4.0
|
||||
EM0282,Kota Depok,Perempuan,1988-11-30,2022-07-27,2023-10-11,Married,2,SLTA,8.0,9.3,Operations,Staff,1172793.0,0.0,High,Excellent,1,35,441,14,3518379.0,7036758.0,16419102.0,390931.0,1.1625,Mid-term,1.5555555555555556,1,1172793.0,1,1172793.0,3.0
|
||||
EM14373,Kabupaten Bogor,Laki-laki,1979-11-11,2022-02-14,2023-05-12,Married,3,SLTA,12.0,9.42,Corporate Strategy & Communications,Manager,10173390.568614412,0.0,Very High,Excellent,1,45,452,15,30520171.70584324,61040343.41168647,152600858.52921617,2543347.642153603,1.1775,Mid-term,1.1538461538461535,4,2543347.642153603,1,10173390.568614412,3.6
|
||||
EM4284,Tangerang,Perempuan,1991-12-27,2021-10-10,2023-12-14,Single,0,D2,1.0,9.11,Marketing,Staff,3967197.0,0.0,Low,Good,1,32,795,26,11901591.0,23803182.0,103147122.0,3967197.0,1.13875,Mid-term,13.0,1,3967197.0,3,1322399.0,1.4
|
||||
EM4328,Kabupaten Bogor,Perempuan,1978-07-25,2021-04-11,2023-08-16,Married,0,D2,3.0,9.61,Service & Support,Manager,9469398.281976769,0.0,High,Outstanding,1,46,857,28,28408194.845930308,56816389.691860616,265143151.89534956,9469398.281976769,1.20125,Mid-term,7.0,4,2367349.570494192,3,3156466.093992256,3.4
|
||||
EM12924,Kota Jakarta Selatan,Laki-laki,1996-03-16,2021-11-16,2023-04-02,Married,1,D3,5.0,9.35,Operations,Staff,4940507.0,0.0,Medium,Low,1,28,502,16,14821521.0,29643042.0,79048112.0,2470253.5,1.16875,Mid-term,2.6666666666666665,1,4940507.0,4,1235126.75,1.6
|
||||
EM6661,Kepulauan Seribu,Perempuan,1991-01-01,2021-05-22,2023-10-02,Married,2,D3,6.0,9.38,Corporate Strategy & Communications,Staff,4515754.0,0.0,Medium,Good,1,33,863,28,13547262.0,27094524.0,126441112.0,1505251.3333333333,1.1725,Mid-term,4.0,1,4515754.0,4,1128938.5,2.0
|
||||
EM14079,Kota Jakarta Timur,Perempuan,1996-09-01,2023-06-08,2024-07-29,Single,0,SLTA,0.0,9.16,Finance & Accounting,Staff,1702427.0,0.0,High,Good,1,28,417,13,5107281.0,10214562.0,22131551.0,1702427.0,1.145,Mid-term,13.0,1,1702427.0,1,1702427.0,2.6
|
||||
EM1054,Kota Jakarta Timur,Laki-laki,1975-03-05,2021-02-13,2023-01-09,Married,1,D1,4.0,9.48,Creative & Design,Senior,10147096.902415443,0.0,High,Excellent,1,49,695,23,30441290.70724633,60882581.41449266,233383228.7555552,5073548.451207722,1.185,Mid-term,4.6,3,3382365.634138481,2,5073548.451207722,3.0
|
||||
EM5997,Tangerang,Laki-laki,1997-02-05,2022-10-23,2024-04-06,Married,0,D2,8.0,9.49,Finance & Accounting,Staff,3683269.0,0.0,Low,Excellent,1,27,531,17,11049807.0,22099614.0,62615573.0,3683269.0,1.18625,Mid-term,1.8888888888888888,1,3683269.0,3,1227756.3333333333,1.8000000000000005
|
||||
EM0569,Kota Bogor,Laki-laki,1999-06-01,2023-01-19,2024-02-25,Single,0,SLTA,13.0,9.81,Creative & Design,Staff,1647274.0,0.0,Medium,Low,1,25,402,13,4941822.0,9883644.0,21414562.0,1647274.0,1.22625,Mid-term,0.9285714285714286,1,1647274.0,1,1647274.0,1.6
|
||||
EM2893,Kota Jakarta Barat,Laki-laki,1972-10-07,2020-01-19,2023-01-03,Married,2,D1,8.0,9.75,Creative & Design,Senior,9170616.086591788,0.0,Very High,Outstanding,1,52,1080,36,27511848.259775363,55023696.519550726,330142179.1173043,3056872.028863929,1.21875,Mid-term,4.0,3,3056872.028863929,2,4585308.043295894,4.0
|
||||
EM3138,Kabupaten Bogor,Laki-laki,1977-09-25,2020-12-20,2023-04-01,Married,3,SLTA,7.0,9.18,Finance & Accounting,Manager,12240072.642616823,0.0,Very High,Outstanding,1,47,832,27,36720217.92785047,73440435.85570094,330481961.35065424,3060018.160654206,1.1475,Mid-term,3.375,4,3060018.160654206,1,12240072.642616823,4.0
|
||||
EM6112,Kabupaten Bogor,Perempuan,1983-07-02,2022-09-25,2023-11-01,Married,2,SLTA,13.0,9.44,Finance & Accounting,Senior,12213643.973472878,0.0,High,Excellent,1,41,402,13,36640931.92041864,73281863.84083727,158777371.65514743,4071214.657824293,1.18,Mid-term,0.9285714285714286,3,4071214.657824293,1,12213643.973472878,3.0
|
||||
EM12355,Kota Depok,Perempuan,1982-12-17,2021-10-12,2023-12-01,Married,3,SLTA,0.0,9.06,Creative & Design,Senior,11985370.2227121,0.0,Very High,Excellent,1,41,780,26,35956110.6681363,71912221.3362726,311619625.7905146,2996342.555678025,1.1325,Mid-term,26.0,3,3995123.4075707,1,11985370.2227121,3.6
|
||||
EM3940,Kota Jakarta Pusat,Laki-laki,1972-05-28,2021-08-31,2024-04-03,Divorce,0,D1,0.0,9.49,Creative & Design,Manager,10368478.24624514,0.0,Very High,Excellent,1,52,946,31,31105434.738735422,62210869.477470845,321422825.63359934,10368478.24624514,1.18625,Mid-term,31.0,4,2592119.561561285,2,5184239.12312257,3.6
|
||||
EM11498,Kota Jakarta Selatan,Laki-laki,1978-01-10,2021-09-15,2024-04-13,Married,2,D3,8.0,9.26,Corporate Strategy & Communications,Senior,6625376.893308981,0.0,High,Excellent,1,46,941,31,19876130.679926943,39752261.359853886,205386683.69257843,2208458.964436327,1.1575,Mid-term,3.4444444444444446,3,2208458.964436327,4,1656344.223327245,3.0
|
||||
EM8831,Kota Jakarta Timur,Laki-laki,1976-09-17,2023-09-29,2024-10-23,Married,1,SLTA,0.0,9.27,Creative & Design,Manager,12646403.924371246,0.0,Very High,Outstanding,1,48,390,13,37939211.77311374,75878423.54622748,164403251.0168262,6323201.962185623,1.15875,Mid-term,0.0,4,3161600.981092812,1,12646403.924371246,4.0
|
||||
EM6783,Kota Jakarta Selatan,Perempuan,1987-07-09,2023-05-30,2024-08-14,Married,2,SLTA,0.0,9.41,Creative & Design,Staff,1638738.0,0.0,Medium,Low,1,37,442,14,4916214.0,9832428.0,22942332.0,546246.0,1.17625,Mid-term,14.0,1,1638738.0,1,1638738.0,1.6
|
||||
EM0124,Kota Jakarta Timur,Laki-laki,1974-06-21,2022-01-24,2024-05-15,Married,3,SLTA,5.0,9.1,Marketing,Senior,11501565.00876313,0.0,Very High,Outstanding,1,50,842,28,34504695.02628939,69009390.05257878,322043820.24536765,2875391.2521907827,1.1375,Mid-term,4.666666666666667,3,3833855.0029210434,1,11501565.00876313,4.0
|
||||
EM10521,Kabupaten Bogor,Laki-laki,1981-03-11,2022-03-15,2023-07-16,Married,3,D1,6.0,9.58,Finance & Accounting,Manager,7587784.523912206,0.0,Very High,Outstanding,1,43,488,16,22763353.57173662,45526707.14347324,121404552.3825953,1896946.130978052,1.1975,Mid-term,2.2857142857142856,4,1896946.130978052,2,3793892.261956103,4.0
|
||||
EM8934,Kabupaten Bekasi,Laki-laki,1986-04-21,2022-08-28,2024-04-04,Married,4,D1,1.0,9.11,Creative & Design,Staff,4997729.0,0.0,High,Low,1,38,585,19,14993187.0,29986374.0,94956851.0,999545.8,1.13875,Mid-term,9.5,1,4997729.0,2,2498864.5,2.2
|
||||
EM1676,Kota Jakarta Utara,Perempuan,1979-11-21,2021-05-10,2023-06-23,Married,5,D1,6.0,9.73,HR,Senior,8326117.440315841,0.0,High,Excellent,1,44,774,25,24978352.32094752,49956704.64189504,208152936.007896,1387686.2400526402,1.21625,Mid-term,3.571428571428572,3,2775372.4801052804,2,4163058.72015792,3.0
|
||||
EM12730,Tangerang,Perempuan,1975-10-11,2021-12-20,2024-04-19,Married,3,SLTA,0.0,9.81,Marketing,Senior,12699753.26266782,0.0,High,Outstanding,1,49,851,28,38099259.78800346,76198519.57600692,355593091.35469896,3174938.315666955,1.22625,Mid-term,28.0,3,4233251.08755594,1,12699753.26266782,3.4
|
||||
EM11180,Kota Jakarta Pusat,Laki-laki,1971-03-16,2022-11-25,2024-01-23,Divorce,0,D2,8.0,9.62,Creative & Design,Senior,7341321.569944235,0.0,High,Outstanding,1,53,424,14,22023964.709832706,44047929.41966541,102778501.97921927,7341321.569944235,1.2025,Mid-term,1.5555555555555556,3,2447107.189981412,3,2447107.189981412,3.4
|
||||
EM9360,Kota Depok,Laki-laki,1985-05-16,2022-03-23,2024-05-30,Married,2,SLTA,8.0,9.18,Creative & Design,Staff,2576522.0,0.0,Medium,Excellent,1,39,799,26,7729566.0,15459132.0,66989572.0,858840.6666666666,1.1475,Mid-term,2.888888888888889,1,2576522.0,1,2576522.0,2.4000000000000004
|
||||
EM9265,Kota Jakarta Timur,Laki-laki,1991-05-04,2021-06-16,2023-09-29,Married,3,SLTA,5.0,9.7,Engineering & IT,Staff,2402048.0,0.0,Medium,Excellent,1,33,835,27,7206144.0,14412288.0,64855296.0,600512.0,1.2125,Mid-term,4.5,1,2402048.0,1,2402048.0,2.4000000000000004
|
||||
EM12648,Kabupaten Bekasi,Laki-laki,1985-06-15,2022-05-30,2023-08-08,Married,3,SLTA,3.0,9.36,Operations,Staff,2571258.0,0.0,Low,Low,1,39,435,14,7713774.0,15427548.0,35997612.0,642814.5,1.17,Mid-term,3.5,1,2571258.0,1,2571258.0,1.0
|
||||
EM0339,Kabupaten Bogor,Laki-laki,1978-05-08,2022-01-17,2023-03-24,Married,2,D1,1.0,9.43,Finance & Accounting,Manager,9178605.957763184,0.0,Very High,Outstanding,1,46,431,14,27535817.87328955,55071635.7465791,128500483.40868458,3059535.3192543946,1.17875,Mid-term,7.0,4,2294651.489440796,2,4589302.978881592,4.0
|
||||
EM6154,Tangerang,Perempuan,1992-02-01,2022-01-11,2024-02-10,Married,2,SLTA,8.0,9.56,Operations,Staff,2533970.0,0.0,Medium,Good,1,32,760,25,7601910.0,15203820.0,63349250.0,844656.6666666666,1.195,Mid-term,2.7777777777777777,1,2533970.0,1,2533970.0,2.0
|
||||
EM12959,Kota Jakarta Utara,Laki-laki,1986-03-14,2023-03-10,2024-05-21,Married,2,SLTA,6.0,9.76,Operations,Staff,2932808.0,0.0,Medium,Good,1,38,438,14,8798424.0,17596848.0,41059312.0,977602.6666666666,1.22,Mid-term,2.0,1,2932808.0,1,2932808.0,2.0
|
||||
EM12124,Kabupaten Bogor,Laki-laki,1984-11-28,2023-01-02,2024-02-13,Married,3,SLTA,6.0,9.72,HR,Staff,1730343.0,0.0,Low,Good,1,39,407,13,5191029.0,10382058.0,22494459.0,432585.75,1.215,Mid-term,1.8571428571428568,1,1730343.0,1,1730343.0,1.4
|
||||
EM3565,Kota Jakarta Barat,Laki-laki,1991-05-26,2021-07-24,2022-07-29,Single,0,D2,6.0,9.74,Corporate Strategy & Communications,Staff,3164506.0,0.0,Low,Low,1,33,370,12,9493518.0,18987036.0,37974072.0,3164506.0,1.2175,Mid-term,1.7142857142857142,1,3164506.0,3,1054835.3333333333,1.0
|
||||
EM11890,Kabupaten Bekasi,Perempuan,1980-12-09,2023-02-02,2024-06-24,Married,2,SLTA,5.0,9.0,Operations,Manager,8378785.852976561,0.0,High,Outstanding,1,43,508,16,25136357.55892968,50272715.11785936,134060573.64762495,2792928.617658853,1.125,Mid-term,2.6666666666666665,4,2094696.46324414,1,8378785.852976561,3.4
|
||||
EM11357,Kota Jakarta Barat,Laki-laki,1984-04-11,2024-08-02,2024-10-31,Married,0,S1,5.0,9.35,Marketing,Junior,6854792.0,0.0,Medium,Low,1,40,90,3,20564376.0,41128752.0,20564376.0,6854792.0,1.16875,Short-term,0.5,2,3427396.0,5,1370958.4,1.6
|
||||
EM8772,Kabupaten Bekasi,Perempuan,1985-02-18,2021-04-05,2023-10-19,Married,2,SLTA,2.0,9.71,HR,Staff,1152539.0,0.0,High,Low,1,39,927,30,3457617.0,6915234.0,34576170.0,384179.6666666667,1.21375,Mid-term,10.0,1,1152539.0,1,1152539.0,2.2
|
||||
EM13871,Kabupaten Bogor,Perempuan,1983-04-20,2021-11-30,2023-04-01,Married,2,SLTA,10.0,9.8,HR,Senior,13107588.714977626,0.0,High,Outstanding,1,41,487,16,39322766.14493288,78645532.28986576,209721419.439642,4369196.238325875,1.225,Mid-term,1.4545454545454546,3,4369196.238325875,1,13107588.714977626,3.4
|
||||
EM7700,Tangerang,Perempuan,1981-10-09,2023-01-10,2024-02-03,Married,2,SLTA,0.0,9.84,Marketing,Senior,11998134.469174333,0.0,Very High,Outstanding,1,43,389,12,35994403.407523,71988806.815046,143977613.630092,3999378.156391444,1.23,Mid-term,0.0,3,3999378.156391444,1,11998134.469174333,4.0
|
||||
EM14417,Tangerang,Perempuan,1982-04-29,2023-06-14,2024-07-28,Married,2,SLTA,12.0,9.39,Finance & Accounting,Senior,11789146.531485742,0.0,Very High,Excellent,1,42,410,13,35367439.594457224,70734879.18891445,153258904.90931463,3929715.5104952473,1.17375,Mid-term,1.0,3,3929715.5104952473,1,11789146.531485742,3.6
|
||||
EM6023,Kepulauan Seribu,Laki-laki,1972-08-10,2022-12-11,2024-03-04,Married,3,SLTA,11.0,9.49,Creative & Design,Senior,9922554.451573191,0.0,High,Excellent,1,52,449,14,29767663.35471957,59535326.70943914,138915762.32202467,2480638.612893298,1.18625,Mid-term,1.1666666666666667,3,3307518.150524397,1,9922554.451573191,3.0
|
||||
EM7650,Tangerang,Perempuan,1974-06-16,2020-07-24,2023-04-01,Married,3,D3,3.0,9.15,Finance & Accounting,Manager,8171291.453459807,0.0,Very High,Outstanding,1,50,981,32,24513874.36037942,49027748.72075884,261481326.51071385,2042822.863364952,1.14375,Mid-term,8.0,4,2042822.863364952,4,2042822.863364952,4.0
|
||||
EM3190,Kota Jakarta Barat,Perempuan,1986-11-10,2021-07-04,2024-04-02,Married,3,D2,2.0,9.32,HR,Staff,4944099.0,0.0,High,Low,1,38,1003,33,14832297.0,29664594.0,163155267.0,1236024.75,1.165,Mid-term,11.0,1,4944099.0,3,1648033.0,2.2
|
||||
EM11726,Kabupaten Bekasi,Perempuan,1986-07-12,2020-09-13,2023-02-17,Married,1,D1,4.0,9.28,Service & Support,Staff,3566452.0,0.0,High,Low,1,38,887,29,10699356.0,21398712.0,103427108.0,1783226.0,1.16,Mid-term,5.8,1,3566452.0,2,1783226.0,2.2
|
||||
EM3804,Kota Bogor,Perempuan,1999-11-18,2022-06-12,2023-09-06,Single,0,D1,6.0,9.27,Engineering & IT,Staff,3243525.0,0.0,High,Excellent,1,24,451,15,9730575.0,19461150.0,48652875.0,3243525.0,1.15875,Mid-term,2.142857142857143,1,3243525.0,2,1621762.5,3.0
|
||||
EM11362,Tangerang,Laki-laki,1980-07-17,2021-08-09,2023-09-17,Married,2,SLTA,12.0,9.12,Corporate Strategy & Communications,Senior,13823072.522154912,0.0,Very High,Outstanding,1,44,769,25,41469217.56646474,82938435.13292947,345576813.0538728,4607690.840718304,1.14,Mid-term,1.9230769230769231,3,4607690.840718304,1,13823072.522154912,4.0
|
||||
EM9356,Tangerang,Laki-laki,1990-07-12,2022-03-21,2023-08-13,Married,1,D1,4.0,9.77,HR,Staff,3115686.0,0.0,High,Good,1,34,510,17,9347058.0,18694116.0,52966662.0,1557843.0,1.22125,Mid-term,3.4,1,3115686.0,2,1557843.0,2.6
|
||||
EM3661,Kota Jakarta Timur,Laki-laki,1982-07-19,2022-05-15,2023-06-21,Married,3,D3,6.0,9.46,Marketing,Manager,6581082.999889827,0.0,High,Outstanding,1,42,402,13,19743248.99966948,39486497.99933896,85554078.99856776,1645270.7499724568,1.1825,Mid-term,1.8571428571428568,4,1645270.7499724568,4,1645270.7499724568,3.4
|
||||
EM14178,Tangerang,Laki-laki,1975-06-22,2021-04-26,2023-11-21,Married,2,D2,4.0,9.7,Marketing,Manager,10730602.296373611,0.0,High,Excellent,1,49,939,31,32191806.889120832,64383613.778241664,332648671.187582,3576867.432124537,1.2125,Mid-term,6.2,4,2682650.574093403,3,3576867.432124537,3.0
|
||||
EM7357,Tangerang,Laki-laki,1992-07-04,2023-02-06,2024-02-24,Married,2,SLTA,6.0,9.04,Engineering & IT,Staff,1474638.0,0.0,Low,Excellent,1,32,383,12,4423914.0,8847828.0,17695656.0,491546.0,1.13,Mid-term,1.7142857142857142,1,1474638.0,1,1474638.0,1.8000000000000005
|
||||
EM13583,Kota Jakarta Timur,Laki-laki,1989-11-25,2021-07-05,2023-11-23,Married,3,D1,2.0,9.7,Marketing,Staff,4648162.0,0.0,Low,Low,1,34,871,29,13944486.0,27888972.0,134796698.0,1162040.5,1.2125,Mid-term,9.666666666666666,1,4648162.0,2,2324081.0,1.0
|
||||
EM8403,Kabupaten Bekasi,Laki-laki,2000-01-13,2022-01-19,2023-03-17,Single,0,D2,1.0,9.4,Finance & Accounting,Staff,4899746.0,0.0,Medium,Low,1,24,422,14,14699238.0,29398476.0,68596444.0,4899746.0,1.175,Mid-term,7.0,1,4899746.0,3,1633248.6666666667,1.6
|
||||
EM12610,Kabupaten Bekasi,Perempuan,1992-01-01,2021-12-05,2024-04-29,Divorce,2,SLTA,12.0,9.42,Marketing,Staff,1922512.0,0.0,Medium,Low,1,32,876,29,5767536.0,11535072.0,55752848.0,640837.3333333334,1.1775,Mid-term,2.230769230769231,1,1922512.0,1,1922512.0,1.6
|
||||
EM0464,Tangerang,Perempuan,1987-01-21,2022-05-05,2023-06-07,Married,1,SLTA,11.0,9.52,HR,Staff,2073601.0,0.0,High,Excellent,1,37,398,13,6220803.0,12441606.0,26956813.0,1036800.5,1.19,Mid-term,1.0833333333333333,1,2073601.0,1,2073601.0,3.0
|
||||
EM14398,Kota Jakarta Barat,Laki-laki,1975-03-07,2022-04-17,2024-09-15,Married,2,D3,2.0,9.01,Marketing,Senior,8212809.289798208,0.0,Very High,Outstanding,1,49,882,29,24638427.869394623,49276855.738789245,238171469.404148,2737603.0965994024,1.12625,Mid-term,9.666666666666666,3,2737603.0965994024,4,2053202.322449552,4.0
|
||||
EM0255,Kota Depok,Perempuan,1969-07-28,2022-05-29,2024-07-11,Married,1,SLTA,0.0,9.15,HR,Senior,10426976.095233109,0.0,High,Excellent,1,55,774,25,31280928.285699327,62561856.57139865,260674402.38082767,5213488.047616554,1.14375,Mid-term,25.0,3,3475658.6984110363,1,10426976.095233109,3.0
|
||||
EM10980,Kota Jakarta Barat,Laki-laki,1989-01-13,2022-03-13,2023-05-12,Married,1,SLTA,12.0,9.6,Corporate Strategy & Communications,Staff,2259038.0,0.0,Low,Excellent,1,35,425,14,6777114.0,13554228.0,31626532.0,1129519.0,1.2,Mid-term,1.0769230769230769,1,2259038.0,1,2259038.0,1.8000000000000005
|
||||
EM7715,Kabupaten Bekasi,Perempuan,1985-04-11,2021-02-07,2023-02-25,Married,2,SLTA,7.0,9.76,Corporate Strategy & Communications,Staff,1197442.0,0.0,High,Low,1,39,748,24,3592326.0,7184652.0,28738608.0,399147.3333333333,1.22,Mid-term,3.0,1,1197442.0,1,1197442.0,2.2
|
||||
EM13750,Kota Jakarta Pusat,Laki-laki,1977-01-23,2023-01-03,2024-01-22,Married,2,SLTA,0.0,9.59,Finance & Accounting,Manager,12280855.3504478,0.0,Very High,Outstanding,1,47,384,12,36842566.0513434,73685132.1026868,147370264.2053736,4093618.4501492665,1.19875,Mid-term,0.0,4,3070213.83761195,1,12280855.3504478,4.0
|
||||
EM12028,Kota Jakarta Timur,Perempuan,1996-12-12,2023-03-27,2024-07-04,Single,0,D3,2.0,9.52,Service & Support,Staff,4295567.0,0.0,Medium,Good,1,27,465,15,12886701.0,25773402.0,64433505.0,4295567.0,1.19,Mid-term,5.0,1,4295567.0,4,1073891.75,2.0
|
||||
EM12925,Tangerang,Laki-laki,1983-06-30,2022-11-27,2024-02-29,Married,3,SLTA,6.0,9.55,Operations,Manager,8979451.581305208,0.0,Very High,Outstanding,1,41,459,15,26938354.743915625,53876709.48783125,134691773.71957812,2244862.895326302,1.19375,Mid-term,2.142857142857143,4,2244862.895326302,1,8979451.581305208,4.0
|
||||
EM10077,Kota Jakarta Timur,Laki-laki,1996-06-09,2022-06-10,2023-07-29,Married,1,SLTA,1.0,9.84,Creative & Design,Staff,2669526.0,0.0,Low,Low,1,28,414,13,8008578.0,16017156.0,34703838.0,1334763.0,1.23,Mid-term,6.5,1,2669526.0,1,2669526.0,1.0
|
||||
EM12437,Kabupaten Bekasi,Laki-laki,1983-10-24,2022-06-12,2024-02-19,Married,2,D3,4.0,9.89,Finance & Accounting,Manager,9353647.627103211,0.0,Very High,Excellent,1,41,617,20,28060942.88130964,56121885.76261927,187072952.54206425,3117882.5423677373,1.23625,Mid-term,4.0,4,2338411.906775803,4,2338411.906775803,3.6
|
||||
EM7323,Kepulauan Seribu,Laki-laki,1996-11-18,2021-10-03,2023-01-22,Married,2,SLTA,8.0,9.59,Operations,Staff,1447703.0,0.0,High,Excellent,1,27,476,15,4343109.0,8686218.0,21715545.0,482567.6666666667,1.19875,Mid-term,1.6666666666666667,1,1447703.0,1,1447703.0,3.0
|
||||
EM1566,Kota Jakarta Selatan,Laki-laki,1999-05-30,2022-07-03,2023-09-21,Married,0,D1,5.0,9.25,Operations,Staff,3030142.0,0.0,High,Excellent,1,25,445,14,9090426.0,18180852.0,42421988.0,3030142.0,1.15625,Mid-term,2.333333333333333,1,3030142.0,2,1515071.0,3.0
|
||||
EM13183,Kota Jakarta Timur,Laki-laki,1977-06-23,2021-02-20,2023-04-14,Single,0,SLTA,10.0,9.66,Creative & Design,Manager,10040901.84301855,0.0,Very High,Excellent,1,47,783,26,30122705.52905565,60245411.0581113,261063447.9184823,10040901.84301855,1.2075,Mid-term,2.363636363636364,4,2510225.4607546376,1,10040901.84301855,3.6
|
||||
EM4929,Kota Jakarta Selatan,Perempuan,1983-01-17,2021-08-21,2023-12-07,Single,0,D2,5.0,9.79,Engineering & IT,Senior,7677123.579647365,0.0,Very High,Outstanding,1,41,838,27,23031370.73894209,46062741.47788419,207282336.65047887,7677123.579647365,1.22375,Mid-term,4.5,3,2559041.1932157883,3,2559041.1932157883,4.0
|
||||
EM6477,Kota Jakarta Barat,Perempuan,1975-11-30,2021-10-10,2024-08-15,Married,3,SLTA,8.0,9.74,Finance & Accounting,Senior,8281923.33382529,0.0,Very High,Outstanding,1,48,1040,34,24845770.00147587,49691540.00295174,281585393.35005987,2070480.8334563223,1.2175,Mid-term,3.7777777777777777,3,2760641.111275097,1,8281923.33382529,4.0
|
||||
EM13257,Kota Jakarta Utara,Laki-laki,2000-01-11,2022-10-24,2023-11-26,Single,0,SLTA,13.0,9.43,Finance & Accounting,Staff,1566866.0,0.0,Medium,Good,1,24,398,13,4700598.0,9401196.0,20369258.0,1566866.0,1.17875,Mid-term,0.9285714285714286,1,1566866.0,1,1566866.0,2.0
|
||||
EM14028,Tangerang,Perempuan,1984-11-05,2021-01-10,2023-12-04,Married,1,SLTA,11.0,9.74,Corporate Strategy & Communications,Staff,2241369.0,0.0,Low,Good,1,40,1058,35,6724107.0,13448214.0,78447915.0,1120684.5,1.2175,Mid-term,2.9166666666666665,1,2241369.0,1,2241369.0,1.4
|
||||
EM6487,Kota Jakarta Selatan,Perempuan,1993-02-04,2022-11-01,2024-03-04,Married,2,SLTA,0.0,9.43,Finance & Accounting,Staff,1174773.0,0.0,Low,Good,1,31,489,16,3524319.0,7048638.0,18796368.0,391591.0,1.17875,Mid-term,0.0,1,1174773.0,1,1174773.0,1.4
|
||||
EM3812,Kota Jakarta Barat,Laki-laki,1998-09-04,2023-07-03,2024-09-04,Single,0,D2,2.0,9.04,Finance & Accounting,Staff,4436268.0,0.0,Medium,Low,1,26,429,14,13308804.0,26617608.0,62107752.0,4436268.0,1.13,Mid-term,4.666666666666667,1,4436268.0,3,1478756.0,1.6
|
||||
EM3338,Kota Jakarta Timur,Perempuan,1985-06-05,2022-08-21,2023-12-03,Married,3,SLTA,3.0,9.8,Finance & Accounting,Staff,1648191.0,0.0,High,Good,1,39,469,15,4944573.0,9889146.0,24722865.0,412047.75,1.225,Mid-term,3.75,1,1648191.0,1,1648191.0,2.6
|
||||
EM10429,Kota Jakarta Barat,Perempuan,1987-12-20,2022-05-22,2023-07-17,Married,3,D1,6.0,9.54,Corporate Strategy & Communications,Staff,3690737.0,0.0,Low,Low,1,36,421,14,11072211.0,22144422.0,51670318.0,922684.25,1.1925,Mid-term,2.0,1,3690737.0,2,1845368.5,1.0
|
||||
EM5486,Kabupaten Bogor,Laki-laki,1991-11-07,2022-02-20,2023-03-12,Married,0,SLTA,0.0,9.73,HR,Staff,1606855.0,0.0,Medium,Good,1,33,385,12,4820565.0,9641130.0,19282260.0,1606855.0,1.21625,Mid-term,12.0,1,1606855.0,1,1606855.0,2.0
|
||||
EM4640,Kota Jakarta Selatan,Laki-laki,1975-10-16,2021-12-20,2023-04-24,Married,0,D1,0.0,9.12,Creative & Design,Manager,8167348.924054629,0.0,Very High,Outstanding,1,49,490,16,24502046.772163887,49004093.54432777,130677582.78487408,8167348.924054629,1.14,Mid-term,16.0,4,2041837.2310136573,2,4083674.4620273146,4.0
|
||||
EM13709,Kota Jakarta Timur,Laki-laki,1981-05-31,2022-08-25,2024-04-03,Married,3,D1,4.0,9.64,Finance & Accounting,Senior,10205437.61253086,0.0,High,Outstanding,1,43,587,19,30616312.83759258,61232625.67518516,193903314.63808632,2551359.403132715,1.205,Mid-term,3.8,3,3401812.5375102866,2,5102718.80626543,3.4
|
||||
EM8967,Kota Jakarta Timur,Laki-laki,1980-11-23,2021-11-15,2024-04-02,Divorce,2,D2,2.0,9.47,Finance & Accounting,Manager,7401711.727721614,0.0,Very High,Outstanding,1,43,869,28,22205135.18316484,44410270.366329685,207247928.3762052,2467237.2425738717,1.18375,Mid-term,9.333333333333334,4,1850427.9319304037,3,2467237.2425738717,4.0
|
||||
EM3147,Kota Jakarta Selatan,Perempuan,1977-07-06,2023-01-23,2024-05-18,Married,3,SLTA,8.0,9.48,Finance & Accounting,Manager,12415617.343812384,0.0,Very High,Outstanding,1,47,481,16,37246852.03143715,74493704.0628743,198649877.5009981,3103904.335953096,1.185,Mid-term,1.7777777777777777,4,3103904.335953096,1,12415617.343812384,4.0
|
||||
EM9061,Tangerang,Laki-laki,1990-09-05,2022-10-05,2023-11-21,Married,2,D3,7.0,9.86,Marketing,Staff,4147434.0,0.0,Medium,Good,1,34,412,13,12442302.0,24884604.0,53916642.0,1382478.0,1.2325,Mid-term,1.625,1,4147434.0,4,1036858.5,2.0
|
||||
EM2579,Kabupaten Bogor,Laki-laki,1971-10-13,2023-03-06,2024-08-18,Married,3,D1,4.0,9.88,Corporate Strategy & Communications,Manager,10028886.80079268,0.0,High,Outstanding,1,53,531,17,30086660.40237804,60173320.80475608,170491075.61347556,2507221.70019817,1.235,Mid-term,3.4,4,2507221.70019817,2,5014443.40039634,3.4
|
||||
EM14481,Kabupaten Bekasi,Laki-laki,1978-10-05,2021-11-23,2023-01-31,Married,3,SLTA,3.0,9.78,Creative & Design,Manager,9788277.34527677,0.0,Very High,Excellent,1,46,434,14,29364832.035830308,58729664.071660616,137035882.83387476,2447069.3363191923,1.2225,Mid-term,3.5,4,2447069.3363191923,1,9788277.34527677,3.6
|
||||
EM13716,Kota Jakarta Timur,Laki-laki,1997-06-22,2021-09-18,2023-11-09,Married,0,SLTA,1.0,9.88,Engineering & IT,Staff,1839046.0,0.0,Low,Low,1,27,782,26,5517138.0,11034276.0,47815196.0,1839046.0,1.235,Mid-term,13.0,1,1839046.0,1,1839046.0,1.0
|
||||
EM9457,Kabupaten Bekasi,Laki-laki,1996-09-07,2021-02-16,2023-05-10,Married,1,D2,5.0,9.4,Service & Support,Staff,3336253.0,0.0,High,Good,1,28,813,27,10008759.0,20017518.0,90078831.0,1668126.5,1.175,Mid-term,4.5,1,3336253.0,3,1112084.3333333333,2.6
|
||||
EM5912,Kota Bekasi,Laki-laki,1981-07-08,2021-02-02,2023-04-07,Married,2,D2,7.0,9.4,Engineering & IT,Senior,6807524.744203422,0.0,Very High,Outstanding,1,43,794,26,20422574.232610267,40845148.46522053,176995643.34928897,2269174.914734474,1.175,Mid-term,3.25,3,2269174.914734474,3,2269174.914734474,4.0
|
||||
EM3570,Kota Depok,Perempuan,1985-08-05,2022-08-03,2024-10-02,Married,2,SLTA,0.0,9.52,HR,Staff,2870161.0,0.0,Medium,Good,1,39,791,26,8610483.0,17220966.0,74624186.0,956720.3333333334,1.19,Mid-term,26.0,1,2870161.0,1,2870161.0,2.0
|
||||
EM13269,Tangerang,Laki-laki,1989-04-26,2022-11-15,2023-12-15,Single,0,SLTA,8.0,9.29,Engineering & IT,Staff,1874496.0,0.0,Medium,Excellent,1,35,395,13,5623488.0,11246976.0,24368448.0,1874496.0,1.16125,Mid-term,1.4444444444444444,1,1874496.0,1,1874496.0,2.4000000000000004
|
||||
EM0862,Tangerang,Laki-laki,1991-08-13,2022-08-29,2024-04-04,Married,1,SLTA,11.0,9.7,Corporate Strategy & Communications,Staff,2084709.0,0.0,Low,Good,1,33,584,19,6254127.0,12508254.0,39609471.0,1042354.5,1.2125,Mid-term,1.5833333333333333,1,2084709.0,1,2084709.0,1.4
|
||||
EM11367,Kota Jakarta Selatan,Perempuan,1988-06-17,2021-08-14,2023-10-02,Single,0,D2,7.0,9.69,Engineering & IT,Staff,3091438.0,0.0,Low,Good,1,36,779,25,9274314.0,18548628.0,77285950.0,3091438.0,1.21125,Mid-term,3.125,1,3091438.0,3,1030479.3333333334,1.4
|
||||
EM9898,Tangerang,Perempuan,1989-05-01,2020-09-19,2023-04-18,Single,0,D1,5.0,9.07,Creative & Design,Staff,4598021.0,0.0,Medium,Good,1,35,941,31,13794063.0,27588126.0,142538651.0,4598021.0,1.13375,Mid-term,5.166666666666667,1,4598021.0,2,2299010.5,2.0
|
||||
EM11182,Kota Jakarta Timur,Perempuan,1973-11-02,2020-11-28,2023-03-29,Married,2,SLTA,0.0,9.5,Finance & Accounting,Senior,8415346.721325984,0.0,High,Excellent,1,51,851,28,25246040.16397795,50492080.3279559,235629708.19712755,2805115.573775328,1.1875,Mid-term,0.0,3,2805115.573775328,1,8415346.721325984,3.0
|
||||
EM3502,Kabupaten Bekasi,Perempuan,1981-08-14,2021-01-16,2023-08-23,Married,2,D2,5.0,9.18,HR,Senior,9367105.748535847,0.0,High,Outstanding,1,43,949,31,28101317.24560754,56202634.49121508,290380278.20461124,3122368.5828452823,1.1475,Mid-term,5.166666666666667,3,3122368.5828452823,3,3122368.5828452823,3.4
|
||||
EM2957,Kabupaten Bekasi,Laki-laki,1998-02-16,2022-07-18,2023-08-29,Married,0,SLTA,13.0,9.42,Engineering & IT,Staff,1168724.0,0.0,High,Excellent,1,26,407,13,3506172.0,7012344.0,15193412.0,1168724.0,1.1775,Mid-term,0.9285714285714286,1,1168724.0,1,1168724.0,3.0
|
||||
EM6264,Kota Jakarta Timur,Perempuan,1994-12-13,2022-01-23,2024-04-08,Single,0,D3,1.0,9.75,HR,Staff,3176662.0,0.0,Medium,Good,1,29,806,26,9529986.0,19059972.0,82593212.0,3176662.0,1.21875,Mid-term,13.0,1,3176662.0,4,794165.5,2.0
|
||||
EM8789,Tangerang,Laki-laki,1982-09-20,2023-06-02,2024-07-28,Married,2,D3,5.0,9.59,Creative & Design,Senior,8352206.007224502,0.0,High,Excellent,1,42,422,14,25056618.021673508,50113236.043347016,116930884.10114305,2784068.669074834,1.19875,Mid-term,2.333333333333333,3,2784068.669074834,4,2088051.5018061253,3.0
|
||||
EM9871,Kota Bekasi,Perempuan,1997-07-27,2021-07-11,2023-11-30,Single,0,D2,4.0,9.62,Marketing,Staff,4150843.0,0.0,High,Low,1,27,872,29,12452529.0,24905058.0,120374447.0,4150843.0,1.2025,Mid-term,5.8,1,4150843.0,3,1383614.3333333333,2.2
|
||||
EM4867,Kabupaten Bekasi,Laki-laki,1989-05-13,2022-02-07,2024-05-31,Married,1,D1,6.0,9.73,Engineering & IT,Staff,3942898.0,0.0,Medium,Good,1,35,844,28,11828694.0,23657388.0,110401144.0,1971449.0,1.21625,Mid-term,4.0,1,3942898.0,2,1971449.0,2.0
|
||||
EM1918,Kabupaten Bogor,Perempuan,1998-08-23,2022-05-30,2023-08-04,Married,1,D3,8.0,9.65,Corporate Strategy & Communications,Staff,3758297.0,0.0,High,Low,1,26,431,14,11274891.0,22549782.0,52616158.0,1879148.5,1.20625,Mid-term,1.5555555555555556,1,3758297.0,4,939574.25,2.2
|
||||
EM6394,Kota Depok,Laki-laki,1997-08-30,2023-02-06,2024-10-02,Single,0,D3,0.0,9.25,Creative & Design,Staff,3505987.0,0.0,Low,Low,1,27,604,20,10517961.0,21035922.0,70119740.0,3505987.0,1.15625,Mid-term,20.0,1,3505987.0,4,876496.75,1.0
|
||||
EM6895,Tangerang,Perempuan,1991-08-24,2022-05-22,2023-09-30,Single,0,D2,4.0,9.46,HR,Staff,3184452.0,0.0,High,Low,1,33,496,16,9553356.0,19106712.0,50951232.0,3184452.0,1.1825,Mid-term,3.2,1,3184452.0,3,1061484.0,2.2
|
||||
EM2881,Kota Jakarta Utara,Perempuan,1981-11-14,2021-12-01,2023-04-14,Married,4,D1,9.0,9.18,Creative & Design,Senior,6621256.85094486,0.0,Very High,Outstanding,1,42,499,16,19863770.552834578,39727541.10566916,105940109.61511776,1324251.370188972,1.1475,Mid-term,1.6,3,2207085.61698162,2,3310628.42547243,4.0
|
||||
EM4753,Kota Jakarta Selatan,Perempuan,1975-02-06,2021-01-19,2023-06-12,Married,2,SLTA,9.0,9.04,Creative & Design,Senior,12979765.2024004,0.0,High,Outstanding,1,49,874,29,38939295.6072012,77878591.21440239,376413190.8696116,4326588.400800133,1.13,Mid-term,2.9,3,4326588.400800133,1,12979765.2024004,3.4
|
||||
EM13892,Kota Bekasi,Perempuan,1991-08-17,2021-01-09,2023-04-11,Married,1,D2,3.0,9.23,HR,Staff,3509942.0,0.0,High,Excellent,1,33,822,27,10529826.0,21059652.0,94768434.0,1754971.0,1.15375,Mid-term,6.75,1,3509942.0,3,1169980.6666666667,3.0
|
||||
EM1571,Kota Depok,Laki-laki,1998-06-28,2023-07-12,2024-08-09,Married,1,SLTA,12.0,9.56,Engineering & IT,Staff,1305607.0,0.0,Medium,Excellent,1,26,394,13,3916821.0,7833642.0,16972891.0,652803.5,1.195,Mid-term,1.0,1,1305607.0,1,1305607.0,2.4000000000000004
|
||||
EM10296,Kota Jakarta Timur,Perempuan,1977-12-08,2023-04-10,2024-07-13,Married,5,SLTA,3.0,9.13,Operations,Senior,12881671.506430548,0.0,High,Excellent,1,46,460,15,38645014.51929164,77290029.03858328,193225072.59645823,2146945.251071758,1.14125,Mid-term,3.75,3,4293890.502143516,1,12881671.506430548,3.0
|
||||
EM0092,Kabupaten Bogor,Laki-laki,1999-05-11,2021-10-19,2023-02-03,Single,0,D2,2.0,9.64,Creative & Design,Staff,3956144.0,0.0,Medium,Good,1,25,472,15,11868432.0,23736864.0,59342160.0,3956144.0,1.205,Mid-term,5.0,1,3956144.0,3,1318714.6666666667,2.0
|
||||
EM2365,Kota Bekasi,Perempuan,1978-01-01,2022-03-07,2023-05-15,Married,2,D3,6.0,9.27,Engineering & IT,Manager,9441850.407644328,0.0,High,Excellent,1,46,434,14,28325551.222932983,56651102.44586597,132185905.70702058,3147283.469214776,1.15875,Mid-term,2.0,4,2360462.601911082,4,2360462.601911082,3.0
|
||||
EM3013,Kepulauan Seribu,Laki-laki,1970-08-27,2022-02-09,2024-04-18,Married,2,D1,2.0,9.05,Corporate Strategy & Communications,Manager,10616256.82477988,0.0,Very High,Outstanding,1,54,799,26,31848770.47433964,63697540.94867928,276022677.44427687,3538752.2749266266,1.13125,Mid-term,8.666666666666666,4,2654064.20619497,2,5308128.41238994,4.0
|
||||
EM5630,Kota Bekasi,Laki-laki,1994-10-05,2021-05-13,2023-07-21,Married,0,SLTA,11.0,9.04,Engineering & IT,Staff,1596625.0,0.0,High,Good,1,30,799,26,4789875.0,9579750.0,41512250.0,1596625.0,1.13,Mid-term,2.1666666666666665,1,1596625.0,1,1596625.0,2.6
|
||||
EM8619,Kota Jakarta Timur,Laki-laki,1986-09-21,2020-12-14,2023-03-06,Married,0,SLTA,2.0,9.1,Service & Support,Staff,2987488.0,0.0,High,Low,1,38,812,27,8962464.0,17924928.0,80662176.0,2987488.0,1.1375,Mid-term,9.0,1,2987488.0,1,2987488.0,2.2
|
||||
EM8382,Kabupaten Bogor,Perempuan,1999-03-13,2021-10-24,2023-03-01,Single,0,D2,5.0,9.15,Finance & Accounting,Staff,3564903.0,0.0,Medium,Excellent,1,25,493,16,10694709.0,21389418.0,57038448.0,3564903.0,1.14375,Mid-term,2.6666666666666665,1,3564903.0,3,1188301.0,2.4000000000000004
|
||||
EM10142,Kota Jakarta Barat,Laki-laki,1985-12-12,2020-12-21,2023-01-30,Married,0,D1,0.0,9.01,Operations,Staff,3716912.0,0.0,Medium,Low,1,38,770,25,11150736.0,22301472.0,92922800.0,3716912.0,1.12625,Mid-term,0.0,1,3716912.0,2,1858456.0,1.6
|
||||
EM9210,Kota Jakarta Utara,Laki-laki,1988-09-28,2022-11-30,2024-04-24,Divorce,1,D2,4.0,9.84,Creative & Design,Staff,3051177.0,0.0,Low,Low,1,36,511,17,9153531.0,18307062.0,51870009.0,1525588.5,1.23,Mid-term,3.4,1,3051177.0,3,1017059.0,1.0
|
||||
EM9338,Kabupaten Bogor,Laki-laki,1989-11-22,2022-01-30,2023-03-23,Married,1,D3,0.0,9.69,Creative & Design,Staff,3176252.0,0.0,Medium,Low,1,34,417,13,9528756.0,19057512.0,41291276.0,1588126.0,1.21125,Mid-term,13.0,1,3176252.0,4,794063.0,1.6
|
||||
EM9832,Kota Jakarta Timur,Perempuan,1995-05-23,2021-04-11,2023-05-30,Married,2,SLTA,11.0,9.71,Finance & Accounting,Staff,1340430.0,0.0,Medium,Good,1,29,779,25,4021290.0,8042580.0,33510750.0,446810.0,1.21375,Mid-term,2.083333333333333,1,1340430.0,1,1340430.0,2.0
|
||||
EM5307,Kota Jakarta Selatan,Perempuan,1974-08-26,2022-11-09,2023-11-29,Married,2,SLTA,0.0,9.01,HR,Senior,8210954.7500713,0.0,Very High,Outstanding,1,50,385,12,24632864.2502139,49265728.5004278,98531457.0008556,2736984.9166904334,1.12625,Mid-term,12.0,3,2736984.9166904334,1,8210954.7500713,4.0
|
||||
EM5707,Tangerang,Perempuan,1997-01-24,2021-12-08,2023-03-01,Divorce,1,D1,5.0,9.32,Corporate Strategy & Communications,Staff,3995428.0,0.0,Low,Excellent,1,27,448,14,11986284.0,23972568.0,55935992.0,1997714.0,1.165,Mid-term,2.333333333333333,1,3995428.0,2,1997714.0,1.8000000000000005
|
||||
EM1210,Kabupaten Bogor,Laki-laki,1998-12-04,2021-06-09,2023-03-05,Single,0,D3,7.0,9.4,Service & Support,Staff,4003842.0,0.0,Medium,Excellent,1,25,634,21,12011526.0,24023052.0,84080682.0,4003842.0,1.175,Mid-term,2.625,1,4003842.0,4,1000960.5,2.4000000000000004
|
||||
EM11989,Kota Jakarta Utara,Perempuan,1991-01-05,2022-12-19,2024-03-26,Single,0,D2,2.0,9.48,Corporate Strategy & Communications,Staff,3821197.0,0.0,High,Excellent,1,33,463,15,11463591.0,22927182.0,57317955.0,3821197.0,1.185,Mid-term,5.0,1,3821197.0,3,1273732.3333333333,3.0
|
||||
EM4966,Kabupaten Bekasi,Perempuan,1982-05-25,2021-11-16,2023-04-01,Married,3,SLTA,13.0,9.49,Corporate Strategy & Communications,Manager,11312376.539009878,0.0,High,Excellent,1,42,501,16,33937129.61702964,67874259.23405927,180998024.62415805,2828094.1347524696,1.18625,Mid-term,1.1428571428571428,4,2828094.1347524696,1,11312376.539009878,3.0
|
||||
EM13809,Kota Jakarta Pusat,Laki-laki,1987-10-02,2023-06-22,2024-09-04,Married,2,D3,5.0,9.01,Operations,Staff,4094234.0,0.0,High,Excellent,1,37,440,14,12282702.0,24565404.0,57319276.0,1364744.6666666667,1.12625,Mid-term,2.333333333333333,1,4094234.0,4,1023558.5,3.0
|
||||
EM4908,Kota Jakarta Pusat,Perempuan,1989-01-01,2023-07-04,2024-07-28,Married,3,SLTA,8.0,9.11,Service & Support,Staff,2822825.0,0.0,Low,Low,1,35,390,13,8468475.0,16936950.0,36696725.0,705706.25,1.13875,Mid-term,1.4444444444444444,1,2822825.0,1,2822825.0,1.0
|
||||
EM8324,Tangerang,Laki-laki,1987-04-15,2022-03-30,2023-04-25,Married,3,SLTA,0.0,9.77,Marketing,Staff,2069096.0,0.0,Medium,Low,1,37,391,13,6207288.0,12414576.0,26898248.0,517274.0,1.22125,Mid-term,0.0,1,2069096.0,1,2069096.0,1.6
|
||||
EM11294,Kota Jakarta Barat,Laki-laki,1997-10-29,2022-01-03,2024-04-28,Single,0,SLTA,5.0,9.31,HR,Staff,1743115.0,0.0,High,Low,1,27,846,28,5229345.0,10458690.0,48807220.0,1743115.0,1.16375,Mid-term,4.666666666666667,1,1743115.0,1,1743115.0,2.2
|
||||
EM6400,Kota Jakarta Selatan,Laki-laki,1976-02-22,2022-02-13,2023-07-05,Married,2,SLTA,5.0,9.89,Marketing,Manager,14708299.270005465,0.0,Very High,Excellent,1,48,507,16,44124897.81001639,88249795.62003279,235332788.32008743,4902766.423335155,1.23625,Mid-term,2.6666666666666665,4,3677074.817501366,1,14708299.270005465,3.6
|
||||
EM14177,Tangerang,Laki-laki,1982-11-14,2022-04-17,2024-09-04,Married,3,SLTA,0.0,9.32,Finance & Accounting,Manager,14539373.132063098,0.0,Very High,Excellent,1,41,871,29,43618119.396189295,87236238.79237859,421641820.8298299,3634843.283015775,1.165,Mid-term,29.0,4,3634843.283015775,1,14539373.132063098,3.6
|
||||
EM13720,Kota Bekasi,Laki-laki,1999-07-04,2022-09-29,2024-10-27,Single,0,SLTA,2.0,9.71,Engineering & IT,Staff,2196322.0,0.0,Medium,Good,1,25,759,25,6588966.0,13177932.0,54908050.0,2196322.0,1.21375,Mid-term,8.333333333333334,1,2196322.0,1,2196322.0,2.0
|
||||
EM3156,Kota Bekasi,Laki-laki,1998-12-29,2023-02-09,2024-10-24,Single,0,D2,7.0,9.64,Operations,Staff,3652213.0,0.0,High,Low,1,25,623,20,10956639.0,21913278.0,73044260.0,3652213.0,1.205,Mid-term,2.5,1,3652213.0,3,1217404.3333333333,2.2
|
||||
EM2878,Kabupaten Bekasi,Perempuan,1971-07-16,2021-11-23,2024-04-03,Married,0,SLTA,4.0,9.7,Operations,Senior,8177568.928630273,0.0,Very High,Excellent,1,53,862,28,24532706.785890818,49065413.57178164,228971930.00164765,8177568.928630273,1.2125,Mid-term,5.6,3,2725856.3095434243,1,8177568.928630273,3.6
|
||||
EM6596,Kabupaten Bekasi,Laki-laki,1974-04-23,2021-10-09,2023-04-03,Married,1,SLTA,2.0,9.41,Finance & Accounting,Senior,14343853.10394372,0.0,High,Excellent,1,50,541,18,43031559.31183116,86063118.62366232,258189355.87098697,7171926.55197186,1.17625,Mid-term,6.0,3,4781284.36798124,1,14343853.10394372,3.0
|
||||
EM7638,Kepulauan Seribu,Laki-laki,1981-06-29,2023-05-24,2024-10-30,Married,3,SLTA,0.0,9.29,Service & Support,Senior,8061296.637752506,0.0,Very High,Excellent,1,43,525,17,24183889.91325752,48367779.82651504,137042042.8417926,2015324.1594381265,1.16125,Mid-term,17.0,3,2687098.879250835,1,8061296.637752506,3.6
|
||||
EM13481,Kota Bogor,Perempuan,1987-08-24,2022-08-15,2023-11-07,Married,2,SLTA,13.0,9.3,Engineering & IT,Staff,1527313.0,0.0,Medium,Good,1,37,449,14,4581939.0,9163878.0,21382382.0,509104.3333333333,1.1625,Mid-term,1.0,1,1527313.0,1,1527313.0,2.0
|
||||
EM11714,Kota Jakarta Barat,Laki-laki,1984-10-28,2022-07-28,2024-10-30,Married,2,D2,5.0,9.9,Corporate Strategy & Communications,Staff,4588956.0,0.0,High,Low,1,40,825,27,13766868.0,27533736.0,123901812.0,1529652.0,1.2375,Mid-term,4.5,1,4588956.0,3,1529652.0,2.2
|
||||
EM2411,Kabupaten Bekasi,Perempuan,2000-05-15,2022-08-09,2023-10-02,Married,1,SLTA,11.0,9.89,Corporate Strategy & Communications,Staff,1103046.0,0.0,Low,Excellent,1,24,419,13,3309138.0,6618276.0,14339598.0,551523.0,1.23625,Mid-term,1.0833333333333333,1,1103046.0,1,1103046.0,1.8000000000000005
|
||||
EM10827,Kota Depok,Perempuan,1987-07-10,2021-11-21,2023-01-09,Married,2,D3,5.0,9.44,Operations,Staff,4057019.0,0.0,Medium,Good,1,37,414,13,12171057.0,24342114.0,52741247.0,1352339.6666666667,1.18,Mid-term,2.1666666666666665,1,4057019.0,4,1014254.75,2.0
|
||||
EM11566,Kota Jakarta Timur,Perempuan,1981-09-20,2022-05-15,2023-08-29,Married,2,D1,3.0,9.76,HR,Manager,9026113.15709162,0.0,High,Excellent,1,43,471,15,27078339.47127486,54156678.94254972,135391697.3563743,3008704.3856972065,1.22,Mid-term,3.75,4,2256528.289272905,2,4513056.57854581,3.0
|
||||
EM10326,Tangerang,Laki-laki,1992-11-20,2022-07-08,2024-09-14,Married,2,D1,4.0,9.17,Marketing,Staff,4045407.0,0.0,Medium,Low,1,31,799,26,12136221.0,24272442.0,105180582.0,1348469.0,1.14625,Mid-term,5.2,1,4045407.0,2,2022703.5,1.6
|
||||
EM0677,Kota Jakarta Pusat,Laki-laki,1993-11-08,2022-01-03,2023-02-04,Single,0,SLTA,8.0,9.1,Finance & Accounting,Staff,1498246.0,0.0,Medium,Good,1,31,397,13,4494738.0,8989476.0,19477198.0,1498246.0,1.1375,Mid-term,1.4444444444444444,1,1498246.0,1,1498246.0,2.0
|
||||
EM6763,Tangerang,Perempuan,1971-01-21,2021-03-13,2023-05-09,Married,3,SLTA,0.0,9.52,Creative & Design,Manager,13424025.072259473,0.0,Very High,Excellent,1,53,787,26,40272075.21677842,80544150.43355684,349024651.8787463,3356006.268064868,1.19,Mid-term,26.0,4,3356006.268064868,1,13424025.072259473,3.6
|
||||
EM11197,Kabupaten Bekasi,Laki-laki,1987-12-18,2022-01-04,2024-04-02,Married,2,D2,8.0,9.55,Creative & Design,Staff,3990394.0,0.0,High,Good,1,36,819,27,11971182.0,23942364.0,107740638.0,1330131.3333333333,1.19375,Mid-term,3.0,1,3990394.0,3,1330131.3333333333,2.6
|
||||
EM8336,Kota Jakarta Pusat,Laki-laki,1984-04-23,2022-06-13,2023-07-14,Divorce,1,SLTA,0.0,9.67,Corporate Strategy & Communications,Staff,1578034.0,0.0,Medium,Good,1,40,396,13,4734102.0,9468204.0,20514442.0,789017.0,1.20875,Mid-term,13.0,1,1578034.0,1,1578034.0,2.0
|
||||
EM9922,Kota Jakarta Selatan,Perempuan,1987-05-11,2022-12-19,2024-02-07,Single,0,D3,4.0,9.85,Operations,Staff,3401532.0,0.0,Medium,Low,1,37,415,13,10204596.0,20409192.0,44219916.0,3401532.0,1.23125,Mid-term,2.6,1,3401532.0,4,850383.0,1.6
|
||||
EM5622,Kota Depok,Laki-laki,1978-11-19,2022-04-11,2023-10-26,Married,0,D3,1.0,9.79,Corporate Strategy & Communications,Manager,9232296.425321205,0.0,High,Excellent,1,45,563,18,27696889.27596361,55393778.55192722,166181335.6557817,9232296.425321205,1.22375,Mid-term,9.0,4,2308074.106330301,4,2308074.106330301,3.0
|
||||
EM14057,Kota Bekasi,Laki-laki,1987-10-15,2022-03-10,2024-10-02,Married,3,D2,6.0,9.02,Creative & Design,Staff,3901784.0,0.0,High,Good,1,37,937,31,11705352.0,23410704.0,120955304.0,975446.0,1.1275,Mid-term,4.428571428571429,1,3901784.0,3,1300594.6666666667,2.6
|
||||
EM8075,Tangerang,Perempuan,1978-10-08,2023-01-10,2024-06-05,Married,3,SLTA,9.0,9.51,Marketing,Senior,11420789.713714924,0.0,Very High,Outstanding,1,46,512,17,34262369.14114477,68524738.28228953,194153425.1331537,2855197.428428731,1.18875,Mid-term,1.7,3,3806929.904571641,1,11420789.713714924,4.0
|
||||
EM8627,Kota Bekasi,Laki-laki,1980-04-30,2023-01-12,2024-07-04,Married,4,D2,3.0,9.16,Service & Support,Manager,7093121.61048418,0.0,Very High,Outstanding,1,44,539,17,21279364.83145254,42558729.66290508,120583067.37823106,1418624.322096836,1.145,Mid-term,4.25,4,1773280.402621045,3,2364373.870161393,4.0
|
||||
EM6925,Kabupaten Bogor,Perempuan,1986-02-25,2021-08-21,2023-12-06,Married,1,SLTA,4.0,9.37,Service & Support,Staff,2743983.0,0.0,Medium,Good,1,38,837,27,8231949.0,16463898.0,74087541.0,1371991.5,1.17125,Mid-term,5.4,1,2743983.0,1,2743983.0,2.0
|
||||
EM5202,Kota Jakarta Selatan,Laki-laki,1997-11-09,2020-12-26,2023-03-13,Single,0,SLTA,8.0,9.67,Operations,Staff,1501795.0,0.0,Low,Low,1,26,807,26,4505385.0,9010770.0,39046670.0,1501795.0,1.20875,Mid-term,2.888888888888889,1,1501795.0,1,1501795.0,1.0
|
||||
EM7445,Kota Jakarta Selatan,Laki-laki,1973-02-07,2020-10-23,2023-02-07,Married,3,SLTA,7.0,9.11,Marketing,Senior,11848758.38897649,0.0,High,Outstanding,1,51,837,27,35546275.16692947,71092550.33385894,319916476.50236523,2962189.5972441225,1.13875,Mid-term,3.375,3,3949586.12965883,1,11848758.38897649,3.4
|
||||
EM9839,Kota Depok,Laki-laki,1997-03-22,2022-05-04,2023-06-27,Married,1,D3,7.0,9.15,HR,Staff,3799288.0,0.0,Low,Good,1,27,419,13,11397864.0,22795728.0,49390744.0,1899644.0,1.14375,Mid-term,1.625,1,3799288.0,4,949822.0,1.4
|
||||
EM7011,Kota Jakarta Barat,Laki-laki,1999-11-11,2021-05-17,2023-06-30,Single,0,SLTA,9.0,9.34,Corporate Strategy & Communications,Staff,1897378.0,0.0,Medium,Good,1,24,774,25,5692134.0,11384268.0,47434450.0,1897378.0,1.1675,Mid-term,2.5,1,1897378.0,1,1897378.0,2.0
|
||||
EM9676,Kepulauan Seribu,Perempuan,2000-06-09,2021-12-01,2023-04-17,Single,0,D3,2.0,9.7,Corporate Strategy & Communications,Staff,3631170.0,0.0,Low,Excellent,1,24,502,16,10893510.0,21787020.0,58098720.0,3631170.0,1.2125,Mid-term,5.333333333333333,1,3631170.0,4,907792.5,1.8000000000000005
|
||||
EM11166,Kota Jakarta Selatan,Laki-laki,1982-04-17,2020-10-31,2023-03-05,Married,3,SLTA,0.0,9.61,Marketing,Senior,12159196.471958376,0.0,Very High,Outstanding,1,42,855,28,36477589.41587513,72955178.83175026,340457501.2148346,3039799.117989594,1.20125,Mid-term,28.0,3,4053065.490652792,1,12159196.471958376,4.0
|
||||
EM11764,Kota Jakarta Selatan,Laki-laki,1992-11-20,2020-12-19,2023-02-15,Married,2,SLTA,0.0,9.76,Creative & Design,Staff,1442414.0,0.0,Medium,Good,1,31,788,26,4327242.0,8654484.0,37502764.0,480804.6666666667,1.22,Mid-term,26.0,1,1442414.0,1,1442414.0,2.0
|
||||
EM7057,Kabupaten Bogor,Laki-laki,1999-11-06,2022-09-04,2024-01-12,Married,0,SLTA,4.0,9.47,Corporate Strategy & Communications,Staff,1420496.0,0.0,High,Low,1,25,495,16,4261488.0,8522976.0,22727936.0,1420496.0,1.18375,Mid-term,3.2,1,1420496.0,1,1420496.0,2.2
|
||||
EM3244,Kabupaten Bekasi,Laki-laki,1984-04-27,2021-10-25,2024-01-18,Married,2,SLTA,13.0,9.38,Engineering & IT,Staff,1224103.0,0.0,Medium,Excellent,1,40,815,27,3672309.0,7344618.0,33050781.0,408034.3333333333,1.1725,Mid-term,1.9285714285714288,1,1224103.0,1,1224103.0,2.4000000000000004
|
||||
EM14468,Kota Jakarta Utara,Laki-laki,1981-07-06,2021-11-07,2023-04-05,Married,2,D2,9.0,9.87,Creative & Design,Senior,6680226.7981928205,0.0,High,Excellent,1,43,514,17,20040680.39457846,40081360.78915692,113563855.56927794,2226742.2660642737,1.23375,Mid-term,1.7,3,2226742.2660642737,3,2226742.2660642737,3.0
|
||||
EM13664,Kepulauan Seribu,Laki-laki,1979-09-09,2022-04-11,2023-06-24,Married,0,D1,6.0,9.32,Operations,Manager,8418437.19366046,0.0,Very High,Outstanding,1,45,439,14,25255311.58098138,50510623.16196276,117858120.71124645,8418437.19366046,1.165,Mid-term,2.0,4,2104609.298415115,2,4209218.59683023,4.0
|
||||
EM7634,Kabupaten Bogor,Perempuan,1991-05-19,2021-05-09,2023-07-09,Married,3,SLTA,2.0,9.81,Engineering & IT,Staff,1320751.0,0.0,High,Excellent,1,33,791,26,3962253.0,7924506.0,34339526.0,330187.75,1.22625,Mid-term,8.666666666666666,1,1320751.0,1,1320751.0,3.0
|
||||
EM11501,Kota Depok,Perempuan,1985-01-01,2021-09-30,2023-12-20,Married,2,SLTA,11.0,9.49,Corporate Strategy & Communications,Staff,2735592.0,0.0,High,Low,1,39,811,27,8206776.0,16413552.0,73860984.0,911864.0,1.18625,Mid-term,2.25,1,2735592.0,1,2735592.0,2.2
|
||||
EM5301,Kota Depok,Laki-laki,2000-05-19,2020-11-01,2023-03-18,Single,0,D3,1.0,9.12,Finance & Accounting,Staff,4700334.0,0.0,High,Excellent,1,24,867,28,14101002.0,28202004.0,131609352.0,4700334.0,1.14,Mid-term,14.0,1,4700334.0,4,1175083.5,3.0
|
||||
EM10821,Kabupaten Bekasi,Laki-laki,1977-02-16,2021-11-09,2023-01-10,Married,0,SLTA,11.0,9.64,Engineering & IT,Manager,14271856.7922943,0.0,High,Excellent,1,47,427,14,42815570.376882896,85631140.75376579,199805995.0921202,14271856.7922943,1.205,Mid-term,1.1666666666666667,4,3567964.198073575,1,14271856.7922943,3.0
|
||||
EM11174,Kota Jakarta Selatan,Laki-laki,1980-12-08,2021-11-17,2023-04-15,Married,2,SLTA,9.0,9.19,Corporate Strategy & Communications,Senior,9941125.964439142,0.0,High,Outstanding,1,43,514,17,29823377.893317427,59646755.786634855,168999141.39546543,3313708.6548130475,1.14875,Mid-term,1.7,3,3313708.6548130475,1,9941125.964439142,3.4
|
||||
EM8760,Kota Jakarta Utara,Laki-laki,1985-04-24,2023-02-21,2024-03-16,Married,2,SLTA,3.0,9.86,Service & Support,Staff,1362945.0,0.0,Medium,Excellent,1,39,389,12,4088835.0,8177670.0,16355340.0,454315.0,1.2325,Mid-term,3.0,1,1362945.0,1,1362945.0,2.4000000000000004
|
||||
EM9032,Kota Depok,Perempuan,1993-10-24,2022-07-05,2024-01-25,Married,2,D2,7.0,9.51,Marketing,Staff,3909283.0,0.0,Low,Low,1,31,569,18,11727849.0,23455698.0,70367094.0,1303094.3333333333,1.18875,Mid-term,2.25,1,3909283.0,3,1303094.3333333333,1.0
|
||||
EM1098,Kota Depok,Laki-laki,1982-07-10,2023-07-20,2024-09-22,Married,2,D3,8.0,9.16,HR,Senior,6623998.433990782,0.0,Very High,Excellent,1,42,430,14,19871995.301972345,39743990.60394469,92735978.07587096,2207999.477996927,1.145,Mid-term,1.5555555555555556,3,2207999.477996927,4,1655999.6084976955,3.6
|
||||
EM6214,Kabupaten Bekasi,Laki-laki,1987-12-07,2022-08-21,2023-11-07,Single,0,SLTA,12.0,9.36,Finance & Accounting,Staff,1370568.0,0.0,Low,Low,1,36,443,14,4111704.0,8223408.0,19187952.0,1370568.0,1.17,Mid-term,1.0769230769230769,1,1370568.0,1,1370568.0,1.0
|
||||
EM10686,Kota Depok,Perempuan,1986-03-26,2021-09-13,2023-10-21,Married,2,SLTA,12.0,9.26,Service & Support,Staff,1553599.0,0.0,High,Excellent,1,38,768,25,4660797.0,9321594.0,38839975.0,517866.3333333333,1.1575,Mid-term,1.9230769230769231,1,1553599.0,1,1553599.0,3.0
|
||||
EM2874,Kota Jakarta Barat,Perempuan,1988-02-16,2021-11-03,2024-03-05,Married,0,D2,0.0,9.8,Finance & Accounting,Staff,4023131.0,0.0,Medium,Low,1,36,853,28,12069393.0,24138786.0,112647668.0,4023131.0,1.225,Mid-term,28.0,1,4023131.0,3,1341043.6666666667,1.6
|
||||
EM8146,Kabupaten Bogor,Laki-laki,1973-05-04,2020-09-19,2023-02-03,Married,4,D2,0.0,9.11,Finance & Accounting,Manager,9568214.062640997,0.0,Very High,Outstanding,1,51,867,28,28704642.18792299,57409284.37584598,267909993.7539479,1913642.8125281995,1.13875,Mid-term,28.0,4,2392053.515660249,3,3189404.6875469987,4.0
|
||||
EM2906,Kabupaten Bekasi,Laki-laki,1993-12-15,2022-02-20,2024-10-18,Married,1,D3,1.0,9.0,Finance & Accounting,Staff,4634482.0,0.0,Medium,Low,1,30,971,32,13903446.0,27806892.0,148303424.0,2317241.0,1.125,Mid-term,16.0,1,4634482.0,4,1158620.5,1.6
|
||||
EM13714,Kota Jakarta Selatan,Laki-laki,1981-07-07,2021-09-15,2023-11-08,Married,1,SLTA,0.0,9.5,Creative & Design,Manager,13776330.29573993,0.0,Very High,Excellent,1,43,784,26,41328990.88721979,82657981.77443957,358184587.6892382,6888165.147869965,1.1875,Mid-term,26.0,4,3444082.5739349825,1,13776330.29573993,3.6
|
||||
EM6685,Kota Jakarta Utara,Laki-laki,2000-05-11,2020-08-08,2022-05-01,Single,0,D3,9.0,9.47,HR,Staff,3262935.0,0.0,High,Excellent,1,24,631,21,9788805.0,19577610.0,68521635.0,3262935.0,1.18375,Mid-term,2.1,1,3262935.0,4,815733.75,3.0
|
||||
EM6856,Kota Depok,Laki-laki,1972-01-03,2022-02-06,2024-03-28,Married,1,SLTA,8.0,9.2,Operations,Senior,9044977.162096417,0.0,Very High,Outstanding,1,52,781,26,27134931.486289248,54269862.972578496,235169406.21450683,4522488.581048208,1.15,Mid-term,2.888888888888889,3,3014992.387365472,1,9044977.162096417,4.0
|
||||
EM10471,Kabupaten Bekasi,Laki-laki,1998-03-07,2022-09-06,2023-11-01,Single,0,SLTA,1.0,9.15,HR,Staff,2996032.0,0.0,High,Good,1,26,421,14,8988096.0,17976192.0,41944448.0,2996032.0,1.14375,Mid-term,7.0,1,2996032.0,1,2996032.0,2.6
|
||||
EM10956,Kota Jakarta Barat,Laki-laki,1994-08-09,2023-01-11,2024-06-15,Married,1,D3,4.0,9.9,Engineering & IT,Staff,3036298.0,0.0,Medium,Good,1,30,521,17,9108894.0,18217788.0,51617066.0,1518149.0,1.2375,Mid-term,3.4,1,3036298.0,4,759074.5,2.0
|
||||
EM6090,Kepulauan Seribu,Laki-laki,2000-03-01,2022-07-20,2024-05-16,Single,0,D3,3.0,9.22,Marketing,Staff,3862529.0,0.0,Medium,Excellent,1,24,666,22,11587587.0,23175174.0,84975638.0,3862529.0,1.1525,Mid-term,5.5,1,3862529.0,4,965632.25,2.4000000000000004
|
||||
EM8085,Kota Jakarta Pusat,Laki-laki,1981-01-03,2023-02-07,2024-02-25,Married,3,SLTA,7.0,9.44,Operations,Senior,10523656.37495947,0.0,Very High,Excellent,1,43,383,12,31570969.12487841,63141938.24975683,126283876.49951366,2630914.093739868,1.18,Mid-term,1.5,3,3507885.458319824,1,10523656.37495947,3.6
|
||||
EM3388,Kota Jakarta Barat,Laki-laki,1980-08-09,2023-01-30,2024-05-02,Married,2,SLTA,0.0,9.03,Operations,Manager,8115382.840687465,0.0,Very High,Excellent,1,44,458,15,24346148.522062395,48692297.04412479,121730742.61031196,2705127.6135624885,1.12875,Mid-term,15.0,4,2028845.7101718665,1,8115382.840687465,3.6
|
||||
EM12149,Kota Jakarta Utara,Perempuan,1995-08-06,2022-03-21,2024-10-12,Married,2,SLTA,8.0,9.6,Service & Support,Staff,2490181.0,0.0,High,Excellent,1,29,936,31,7470543.0,14941086.0,77195611.0,830060.3333333334,1.2,Mid-term,3.4444444444444446,1,2490181.0,1,2490181.0,3.0
|
||||
EM1240,Kota Jakarta Utara,Laki-laki,1971-03-03,2022-08-11,2023-10-17,Married,0,D3,1.0,9.43,Marketing,Manager,7823580.250272168,0.0,Very High,Outstanding,1,53,432,14,23470740.7508165,46941481.501633,109530123.50381036,7823580.250272168,1.17875,Mid-term,7.0,4,1955895.062568042,4,1955895.062568042,4.0
|
||||
EM10327,Kabupaten Bekasi,Laki-laki,1986-04-29,2020-07-10,2023-02-20,Married,0,D3,4.0,9.5,Engineering & IT,Staff,4304201.0,0.0,Medium,Excellent,1,38,955,31,12912603.0,25825206.0,133430231.0,4304201.0,1.1875,Mid-term,6.2,1,4304201.0,4,1076050.25,2.4000000000000004
|
||||
EM14072,Kabupaten Bekasi,Laki-laki,1990-04-24,2022-05-11,2023-07-11,Married,1,D3,6.0,9.68,Service & Support,Staff,3200658.0,0.0,High,Good,1,34,426,14,9601974.0,19203948.0,44809212.0,1600329.0,1.21,Mid-term,2.0,1,3200658.0,4,800164.5,2.6
|
||||
EM4156,Kota Jakarta Barat,Laki-laki,1974-02-14,2023-07-20,2024-08-25,Married,0,SLTA,11.0,9.1,Marketing,Senior,6035575.166356023,0.0,High,Outstanding,1,50,402,13,18106725.49906807,36213450.99813614,78462477.16262831,6035575.166356023,1.1375,Mid-term,1.0833333333333333,3,2011858.388785341,1,6035575.166356023,3.4
|
||||
EM9514,Kabupaten Bekasi,Laki-laki,1991-04-25,2021-08-02,2023-04-20,Married,1,SLTA,0.0,9.55,Service & Support,Staff,1526682.0,0.0,Low,Excellent,1,33,626,20,4580046.0,9160092.0,30533640.0,763341.0,1.19375,Mid-term,20.0,1,1526682.0,1,1526682.0,1.8000000000000005
|
||||
EM14591,Kota Jakarta Pusat,Perempuan,1997-06-08,2022-09-18,2024-04-25,Married,1,SLTA,8.0,9.38,Engineering & IT,Staff,2567410.0,0.0,Medium,Good,1,27,585,19,7702230.0,15404460.0,48780790.0,1283705.0,1.1725,Mid-term,2.111111111111111,1,2567410.0,1,2567410.0,2.0
|
||||
EM5096,Kota Jakarta Barat,Laki-laki,1993-01-01,2023-03-20,2024-05-30,Married,2,SLTA,13.0,9.03,Marketing,Staff,1211553.0,0.0,Low,Low,1,31,437,14,3634659.0,7269318.0,16961742.0,403851.0,1.12875,Mid-term,1.0,1,1211553.0,1,1211553.0,1.0
|
||||
EM14515,Kota Jakarta Utara,Laki-laki,1985-05-15,2022-02-20,2023-05-16,Married,1,D1,6.0,9.32,Corporate Strategy & Communications,Staff,4972416.0,0.0,Medium,Low,1,39,450,15,14917248.0,29834496.0,74586240.0,2486208.0,1.165,Mid-term,2.142857142857143,1,4972416.0,2,2486208.0,1.6
|
||||
EM4032,Kota Depok,Laki-laki,1975-06-20,2020-06-06,2023-04-02,Married,2,D2,3.0,9.36,Service & Support,Senior,8409255.608307308,0.0,High,Excellent,1,49,1030,34,25227766.82492192,50455533.64984384,285914690.68244845,2803085.2027691025,1.17,Mid-term,8.5,3,2803085.2027691025,3,2803085.2027691025,3.0
|
||||
EM12863,Kota Jakarta Utara,Perempuan,1972-02-21,2023-05-02,2024-06-22,Married,1,SLTA,0.0,9.19,Creative & Design,Manager,11122962.570145875,0.0,Very High,Outstanding,1,52,417,13,33368887.710437626,66737775.42087525,144598513.41189638,5561481.285072938,1.14875,Mid-term,13.0,4,2780740.642536469,1,11122962.570145875,4.0
|
||||
EM13453,Kabupaten Bogor,Laki-laki,1994-01-01,2020-06-10,2023-01-02,Divorce,0,D2,3.0,9.8,Creative & Design,Staff,4895033.0,0.0,Medium,Low,1,30,936,31,14685099.0,29370198.0,151746023.0,4895033.0,1.225,Mid-term,7.75,1,4895033.0,3,1631677.6666666667,1.6
|
||||
EM6938,Kota Jakarta Utara,Laki-laki,1990-11-17,2021-10-03,2023-03-14,Married,1,SLTA,4.0,9.38,Corporate Strategy & Communications,Staff,2870432.0,0.0,High,Low,1,33,527,17,8611296.0,17222592.0,48797344.0,1435216.0,1.1725,Mid-term,3.4,1,2870432.0,1,2870432.0,2.2
|
||||
EM0104,Kota Jakarta Pusat,Laki-laki,1980-06-22,2022-11-20,2024-02-26,Married,2,D1,0.0,9.46,HR,Manager,8047968.384811464,0.0,High,Outstanding,1,44,463,15,24143905.15443439,48287810.30886878,120719525.77217196,2682656.128270488,1.1825,Mid-term,15.0,4,2011992.096202866,2,4023984.192405732,3.4
|
||||
EM8114,Kota Bekasi,Laki-laki,1976-07-05,2022-06-05,2023-09-21,Married,3,D2,6.0,9.67,Operations,Manager,8189434.299741067,0.0,Very High,Excellent,1,48,473,15,24568302.8992232,49136605.7984464,122841514.496116,2047358.5749352667,1.20875,Mid-term,2.142857142857143,4,2047358.5749352667,3,2729811.4332470223,3.6
|
||||
EM8042,Kabupaten Bogor,Perempuan,1998-03-06,2020-09-11,2022-06-01,Single,0,SLTA,7.0,9.24,Finance & Accounting,Staff,1635035.0,0.0,Medium,Good,1,26,628,20,4905105.0,9810210.0,32700700.0,1635035.0,1.155,Mid-term,2.5,1,1635035.0,1,1635035.0,2.0
|
||||
EM8255,Kota Jakarta Pusat,Laki-laki,1995-11-30,2022-10-03,2024-04-16,Married,2,D3,6.0,9.72,Creative & Design,Staff,4213500.0,0.0,Medium,Low,1,28,561,18,12640500.0,25281000.0,75843000.0,1404500.0,1.215,Mid-term,2.571428571428572,1,4213500.0,4,1053375.0,1.6
|
||||
EM6849,Kota Jakarta Selatan,Perempuan,1974-04-19,2022-01-09,2023-06-14,Married,3,D1,7.0,9.08,Creative & Design,Senior,6516849.108146164,0.0,Very High,Excellent,1,50,521,17,19550547.32443849,39101094.64887698,110786434.83848478,1629212.277036541,1.135,Mid-term,2.125,3,2172283.036048721,2,3258424.554073082,3.6
|
||||
EM7358,Kota Depok,Laki-laki,1989-02-19,2023-02-08,2024-03-10,Married,2,SLTA,8.0,9.45,Service & Support,Staff,2879971.0,0.0,High,Good,1,35,396,13,8639913.0,17279826.0,37439623.0,959990.3333333334,1.18125,Mid-term,1.4444444444444444,1,2879971.0,1,2879971.0,2.6
|
||||
EM8452,Tangerang,Perempuan,1978-07-10,2023-07-04,2024-09-17,Married,2,SLTA,8.0,9.51,Finance & Accounting,Manager,8854380.297178274,0.0,High,Outstanding,1,46,441,14,26563140.89153482,53126281.78306964,123961324.16049583,2951460.099059425,1.18875,Mid-term,1.5555555555555556,4,2213595.0742945685,1,8854380.297178274,3.4
|
||||
EM12848,Tangerang,Laki-laki,1987-05-18,2022-03-02,2024-06-13,Married,2,D2,1.0,9.77,Corporate Strategy & Communications,Staff,4234970.0,0.0,High,Low,1,37,834,27,12704910.0,25409820.0,114344190.0,1411656.6666666667,1.22125,Mid-term,13.5,1,4234970.0,3,1411656.6666666667,2.2
|
||||
EM3730,Kota Jakarta Selatan,Laki-laki,1980-01-12,2022-10-27,2024-01-04,Married,3,SLTA,0.0,9.06,Service & Support,Senior,11294950.907322189,0.0,High,Excellent,1,44,434,14,33884852.721966565,67769705.44393313,158129312.70251063,2823737.726830547,1.1325,Mid-term,14.0,3,3764983.635774063,1,11294950.907322189,3.0
|
||||
EM8782,Kota Jakarta Timur,Laki-laki,1992-08-16,2022-05-15,2024-10-20,Married,3,SLTA,2.0,9.88,HR,Staff,2375377.0,0.0,Medium,Excellent,1,32,889,29,7126131.0,14252262.0,68885933.0,593844.25,1.235,Mid-term,9.666666666666666,1,2375377.0,1,2375377.0,2.4000000000000004
|
||||
EM13427,Kabupaten Bogor,Perempuan,1999-09-09,2021-03-06,2024-01-18,Married,0,D2,5.0,9.68,Corporate Strategy & Communications,Staff,4894708.0,0.0,Low,Good,1,25,1048,34,14684124.0,29368248.0,166420072.0,4894708.0,1.21,Mid-term,5.666666666666667,1,4894708.0,3,1631569.3333333333,1.4
|
||||
EM4596,Kota Bogor,Perempuan,1991-03-22,2022-09-04,2023-11-14,Married,1,D3,5.0,9.52,Creative & Design,Staff,4083536.0,0.0,High,Good,1,33,436,14,12250608.0,24501216.0,57169504.0,2041768.0,1.19,Mid-term,2.333333333333333,1,4083536.0,4,1020884.0,2.6
|
||||
EM6170,Kabupaten Bekasi,Laki-laki,1979-11-07,2022-02-20,2023-04-29,Married,3,D2,0.0,9.23,Finance & Accounting,Senior,9228184.355129344,0.0,High,Outstanding,1,45,433,14,27684553.06538803,55369106.13077606,129194580.97181082,2307046.088782336,1.15375,Mid-term,14.0,3,3076061.4517097813,3,3076061.4517097813,3.4
|
||||
EM2623,Kota Jakarta Timur,Perempuan,1982-12-27,2020-09-13,2023-04-15,Married,1,D3,2.0,9.28,HR,Senior,6593264.983391602,0.0,High,Outstanding,1,41,944,31,19779794.950174805,39559589.90034961,204391214.48513964,3296632.491695801,1.16,Mid-term,10.333333333333334,3,2197754.994463867,4,1648316.2458479004,3.4
|
||||
EM2260,Kota Jakarta Timur,Laki-laki,1993-09-29,2022-05-22,2023-10-31,Married,3,SLTA,10.0,9.39,Marketing,Staff,1616103.0,0.0,High,Excellent,1,31,527,17,4848309.0,9696618.0,27473751.0,404025.75,1.17375,Mid-term,1.5454545454545454,1,1616103.0,1,1616103.0,3.0
|
||||
EM2088,Kabupaten Bekasi,Laki-laki,1980-07-09,2020-10-20,2023-04-01,Married,3,D3,3.0,9.45,Creative & Design,Senior,7044499.0388035225,0.0,High,Outstanding,1,44,893,29,21133497.11641057,42266994.23282114,204290472.12530217,1761124.7597008806,1.18125,Mid-term,7.25,3,2348166.346267841,4,1761124.7597008806,3.4
|
||||
EM11257,Kota Jakarta Pusat,Laki-laki,1988-04-07,2021-07-31,2024-02-24,Married,2,D3,3.0,9.5,Marketing,Staff,4674282.0,0.0,Low,Excellent,1,36,938,31,14022846.0,28045692.0,144902742.0,1558094.0,1.1875,Mid-term,7.75,1,4674282.0,4,1168570.5,1.8000000000000005
|
||||
EM14489,Kota Jakarta Timur,Laki-laki,1988-02-25,2020-12-18,2023-03-15,Single,0,SLTA,10.0,9.51,Marketing,Staff,1821385.0,0.0,Medium,Excellent,1,36,817,27,5464155.0,10928310.0,49177395.0,1821385.0,1.18875,Mid-term,2.4545454545454546,1,1821385.0,1,1821385.0,2.4000000000000004
|
||||
EM0225,Kota Depok,Laki-laki,1989-12-02,2022-01-03,2023-06-12,Married,3,SLTA,2.0,9.24,Engineering & IT,Staff,2445978.0,0.0,High,Low,1,34,525,17,7337934.0,14675868.0,41581626.0,611494.5,1.155,Mid-term,5.666666666666667,1,2445978.0,1,2445978.0,2.2
|
||||
EM8399,Kota Jakarta Selatan,Perempuan,1986-02-14,2021-12-18,2024-04-18,Married,3,SLTA,10.0,9.64,Marketing,Staff,1127132.0,0.0,High,Good,1,38,852,28,3381396.0,6762792.0,31559696.0,281783.0,1.205,Mid-term,2.5454545454545454,1,1127132.0,1,1127132.0,2.6
|
||||
EM6303,Tangerang,Perempuan,1994-12-28,2022-05-29,2024-07-28,Single,0,SLTA,1.0,9.07,Finance & Accounting,Staff,1570620.0,0.0,Medium,Good,1,29,791,26,4711860.0,9423720.0,40836120.0,1570620.0,1.13375,Mid-term,13.0,1,1570620.0,1,1570620.0,2.0
|
||||
EM11903,Kota Jakarta Timur,Laki-laki,1990-01-26,2022-03-20,2024-10-05,Married,2,SLTA,3.0,9.06,Creative & Design,Staff,1658096.0,0.0,Medium,Good,1,34,930,31,4974288.0,9948576.0,51400976.0,552698.6666666666,1.1325,Mid-term,7.75,1,1658096.0,1,1658096.0,2.0
|
||||
EM9965,Kota Jakarta Pusat,Laki-laki,1979-07-31,2022-06-06,2023-08-18,Married,2,SLTA,1.0,9.6,Service & Support,Senior,10992949.539448068,0.0,High,Excellent,1,45,438,14,32978848.618344203,65957697.236688405,153901293.55227295,3664316.513149356,1.2,Mid-term,7.0,3,3664316.513149356,1,10992949.539448068,3.0
|
||||
EM3421,Kabupaten Bogor,Laki-laki,1999-08-30,2022-06-15,2024-05-07,Single,0,D2,7.0,9.59,Creative & Design,Staff,4708955.0,0.0,Medium,Low,1,25,692,23,14126865.0,28253730.0,108305965.0,4708955.0,1.19875,Mid-term,2.875,1,4708955.0,3,1569651.6666666667,1.6
|
||||
EM5965,Tangerang,Laki-laki,1993-04-07,2022-08-09,2023-10-17,Married,0,SLTA,9.0,9.73,Marketing,Staff,2829143.0,0.0,Low,Good,1,31,434,14,8487429.0,16974858.0,39608002.0,2829143.0,1.21625,Mid-term,1.4,1,2829143.0,1,2829143.0,1.4
|
||||
EM11262,Kota Jakarta Timur,Perempuan,1993-06-23,2022-08-15,2023-11-08,Married,1,D1,5.0,9.86,HR,Staff,3366743.0,0.0,Medium,Excellent,1,31,450,15,10100229.0,20200458.0,50501145.0,1683371.5,1.2325,Mid-term,2.5,1,3366743.0,2,1683371.5,2.4000000000000004
|
||||
EM5100,Kota Jakarta Utara,Laki-laki,1981-11-02,2023-04-03,2024-06-01,Married,0,SLTA,7.0,9.04,Operations,Senior,12855230.346829113,0.0,High,Excellent,1,43,425,14,38565691.04048733,77131382.08097467,179973224.85560757,12855230.346829113,1.13,Mid-term,1.75,3,4285076.782276371,1,12855230.346829113,3.0
|
||||
EM6688,Kabupaten Bekasi,Laki-laki,1978-07-18,2023-08-19,2024-10-20,Married,2,SLTA,13.0,9.78,Corporate Strategy & Communications,Manager,13195402.93877454,0.0,Very High,Outstanding,1,46,428,14,39586208.816323616,79172417.63264723,184735641.14284357,4398467.64625818,1.2225,Mid-term,1.0,4,3298850.734693635,1,13195402.93877454,4.0
|
||||
EM12815,Tangerang,Laki-laki,1987-10-10,2021-10-27,2024-02-29,Married,0,D3,5.0,9.29,Engineering & IT,Staff,3962908.0,0.0,Medium,Low,1,37,855,28,11888724.0,23777448.0,110961424.0,3962908.0,1.16125,Mid-term,4.666666666666667,1,3962908.0,4,990727.0,1.6
|
||||
EM3475,Kota Jakarta Timur,Laki-laki,1991-01-07,2021-11-06,2024-02-13,Married,1,SLTA,9.0,9.7,Operations,Staff,1631622.0,0.0,Medium,Good,1,33,829,27,4894866.0,9789732.0,44053794.0,815811.0,1.2125,Mid-term,2.7,1,1631622.0,1,1631622.0,2.0
|
||||
EM4057,Kabupaten Bekasi,Perempuan,1980-11-21,2022-08-23,2023-10-20,Married,0,D2,6.0,9.62,Engineering & IT,Senior,6484999.290874,0.0,High,Outstanding,1,43,423,14,19454997.872622,38909995.745244,90789990.072236,6484999.290874,1.2025,Mid-term,2.0,3,2161666.430291333,3,2161666.430291333,3.4
|
||||
EM7940,Kota Jakarta Utara,Perempuan,1979-08-21,2022-10-26,2024-01-17,Married,0,SLTA,12.0,9.24,Corporate Strategy & Communications,Senior,9674016.1314238,0.0,High,Outstanding,1,45,448,14,29022048.3942714,58044096.78854279,135436225.8399332,9674016.1314238,1.155,Mid-term,1.0769230769230769,3,3224672.043807933,1,9674016.1314238,3.4
|
||||
EM11648,Kota Jakarta Barat,Perempuan,1974-12-16,2021-12-16,2023-01-12,Married,0,SLTA,0.0,9.74,Finance & Accounting,Manager,14020455.091659108,0.0,High,Outstanding,1,49,392,13,42061365.27497733,84122730.54995465,182265916.1915684,14020455.091659108,1.2175,Mid-term,0.0,4,3505113.772914777,1,14020455.091659108,3.4
|
||||
EM4745,Kota Jakarta Barat,Perempuan,1998-06-14,2021-12-21,2023-03-07,Single,0,SLTA,3.0,9.56,Service & Support,Staff,1555570.0,0.0,Low,Excellent,1,26,441,14,4666710.0,9333420.0,21777980.0,1555570.0,1.195,Mid-term,3.5,1,1555570.0,1,1555570.0,1.8000000000000005
|
||||
EM1049,Kabupaten Bekasi,Perempuan,1977-04-23,2022-02-06,2023-04-13,Married,3,SLTA,1.0,9.21,Service & Support,Manager,10509832.7043019,0.0,High,Outstanding,1,47,431,14,31529498.112905696,63058996.22581139,147137657.8602266,2627458.176075475,1.15125,Mid-term,7.0,4,2627458.176075475,1,10509832.7043019,3.4
|
||||
EM5663,Kota Jakarta Pusat,Laki-laki,1987-01-04,2020-08-14,2023-01-08,Married,1,D3,4.0,9.77,Creative & Design,Staff,4938792.0,0.0,Medium,Excellent,1,37,877,29,14816376.0,29632752.0,143224968.0,2469396.0,1.22125,Mid-term,5.8,1,4938792.0,4,1234698.0,2.4000000000000004
|
||||
EM12392,Kota Depok,Laki-laki,1984-07-17,2023-01-19,2024-02-22,Married,2,SLTA,6.0,9.19,Engineering & IT,Staff,1724294.0,0.0,Low,Excellent,1,40,399,13,5172882.0,10345764.0,22415822.0,574764.6666666666,1.14875,Mid-term,1.8571428571428568,1,1724294.0,1,1724294.0,1.8000000000000005
|
||||
EM6756,Tangerang,Laki-laki,1980-05-03,2021-02-24,2024-01-31,Married,1,D1,7.0,9.26,HR,Manager,9540372.924714712,0.0,Very High,Excellent,1,44,1071,35,28621118.77414413,57242237.54828827,333913052.3650149,4770186.462357356,1.1575,Mid-term,4.375,4,2385093.231178678,2,4770186.462357356,3.6
|
||||
EM0658,Kota Jakarta Selatan,Perempuan,1981-09-09,2022-11-08,2024-01-12,Married,1,SLTA,8.0,9.33,Operations,Senior,10394348.996538682,0.0,Very High,Outstanding,1,43,430,14,31183046.989616044,62366093.97923209,145520885.95154154,5197174.498269341,1.16625,Mid-term,1.5555555555555556,3,3464782.998846228,1,10394348.996538682,4.0
|
||||
EM13288,Kabupaten Bekasi,Laki-laki,1971-01-23,2023-01-11,2024-02-22,Married,2,SLTA,6.0,9.69,Corporate Strategy & Communications,Manager,10967293.098139184,0.0,High,Excellent,1,53,407,13,32901879.294417556,65803758.58883511,142574810.27580938,3655764.366046394,1.21125,Mid-term,1.8571428571428568,4,2741823.274534796,1,10967293.098139184,3.0
|
||||
EM2360,Kota Jakarta Barat,Laki-laki,1990-04-04,2023-02-28,2024-06-12,Married,3,D2,8.0,9.06,Service & Support,Staff,4128063.0,0.0,Low,Good,1,34,470,15,12384189.0,24768378.0,61920945.0,1032015.75,1.1325,Mid-term,1.6666666666666667,1,4128063.0,3,1376021.0,1.4
|
||||
EM7333,Kota Depok,Laki-laki,1970-01-17,2022-11-25,2024-02-19,Married,0,SLTA,0.0,9.66,Engineering & IT,Manager,11250995.187856875,0.0,Very High,Outstanding,1,54,451,15,33752985.563570626,67505971.12714125,168764927.81785312,11250995.187856875,1.2075,Mid-term,15.0,4,2812748.796964219,1,11250995.187856875,4.0
|
||||
EM12721,Kota Jakarta Timur,Laki-laki,1978-03-20,2021-11-29,2023-02-05,Married,3,SLTA,0.0,9.49,Corporate Strategy & Communications,Manager,12742770.573139776,0.0,High,Outstanding,1,46,433,14,38228311.71941933,76456623.43883866,178398788.0239569,3185692.643284944,1.18625,Mid-term,14.0,4,3185692.643284944,1,12742770.573139776,3.4
|
||||
EM11780,Tangerang,Perempuan,1974-03-15,2022-02-16,2023-04-06,Married,3,SLTA,5.0,9.2,Service & Support,Manager,9194730.487778662,0.0,High,Excellent,1,50,414,13,27584191.463335983,55168382.92667197,119531496.3411226,2298682.621944665,1.15,Mid-term,2.1666666666666665,4,2298682.621944665,1,9194730.487778662,3.0
|
||||
EM7483,Tangerang,Laki-laki,1987-05-18,2023-01-16,2024-02-08,Married,2,SLTA,0.0,9.01,Creative & Design,Staff,1445233.0,0.0,High,Excellent,1,37,388,12,4335699.0,8671398.0,17342796.0,481744.3333333333,1.12625,Mid-term,0.0,1,1445233.0,1,1445233.0,3.0
|
||||
EM14383,Kabupaten Bogor,Perempuan,1994-03-01,2023-02-27,2024-05-24,Married,1,D3,8.0,9.74,Corporate Strategy & Communications,Staff,3399225.0,0.0,Medium,Good,1,30,452,15,10197675.0,20395350.0,50988375.0,1699612.5,1.2175,Mid-term,1.6666666666666667,1,3399225.0,4,849806.25,2.0
|
||||
EM4168,Kabupaten Bekasi,Laki-laki,1979-03-17,2022-09-13,2024-05-06,Divorce,1,S1,4.0,9.49,Corporate Strategy & Communications,Manager,11607652.777207823,0.0,High,Excellent,1,45,601,20,34822958.33162347,69645916.66324694,232153055.5441565,5803826.388603912,1.18625,Mid-term,4.0,4,2901913.194301956,5,2321530.555441565,3.0
|
||||
EM11200,Kabupaten Bekasi,Perempuan,1983-04-20,2022-01-12,2024-06-13,Married,3,SLTA,9.0,9.56,Creative & Design,Manager,14787793.70429033,0.0,Very High,Excellent,1,41,883,29,44363381.11287099,88726762.22574198,428846017.4244196,3696948.426072583,1.195,Mid-term,2.9,4,3696948.426072583,1,14787793.70429033,3.6
|
||||
EM5032,Kota Jakarta Utara,Laki-laki,1981-06-30,2022-08-04,2023-09-16,Married,3,SLTA,0.0,9.23,Finance & Accounting,Senior,8826744.091044158,0.0,High,Outstanding,1,43,408,13,26480232.273132477,52960464.54626495,114747673.18357404,2206686.0227610394,1.15375,Mid-term,13.0,3,2942248.0303480527,1,8826744.091044158,3.4
|
||||
EM4881,Kabupaten Bogor,Laki-laki,1983-08-08,2022-03-27,2024-07-07,Married,2,SLTA,0.0,9.58,Service & Support,Senior,12368567.65357139,0.0,Very High,Outstanding,1,41,833,27,37105702.96071417,74211405.92142834,333951326.6464275,4122855.884523797,1.1975,Mid-term,27.0,3,4122855.884523797,1,12368567.65357139,4.0
|
||||
EM7221,Kota Jakarta Selatan,Perempuan,1982-10-09,2023-01-11,2024-03-31,Married,1,SLTA,12.0,9.55,Corporate Strategy & Communications,Senior,12948975.420686984,0.0,Very High,Outstanding,1,42,445,14,38846926.26206096,77693852.52412191,181285655.88961777,6474487.710343492,1.19375,Mid-term,1.0769230769230769,3,4316325.140228995,1,12948975.420686984,4.0
|
||||
EM8116,Kota Jakarta Selatan,Perempuan,1984-09-29,2021-06-08,2024-04-18,Married,3,D2,3.0,9.45,Engineering & IT,Staff,4674163.0,0.0,Low,Low,1,40,1045,34,14022489.0,28044978.0,158921542.0,1168540.75,1.18125,Mid-term,8.5,1,4674163.0,3,1558054.3333333333,1.0
|
||||
EM10795,Kota Jakarta Barat,Laki-laki,1985-11-08,2023-09-02,2023-12-01,Married,1,SLTA,5.0,9.64,HR,Staff,2778485.0,0.0,Low,Good,1,39,90,3,8335455.0,16670910.0,8335455.0,1389242.5,1.205,Short-term,0.5,1,2778485.0,1,2778485.0,1.4
|
||||
EM6406,Kota Jakarta Timur,Perempuan,1986-11-10,2023-03-09,2024-08-13,Married,1,D3,7.0,9.62,Finance & Accounting,Staff,3047048.0,0.0,Medium,Low,1,38,523,17,9141144.0,18282288.0,51799816.0,1523524.0,1.2025,Mid-term,2.125,1,3047048.0,4,761762.0,1.6
|
||||
EM4009,Kabupaten Bogor,Laki-laki,1979-11-27,2021-04-25,2023-08-22,Married,3,SLTA,1.0,9.14,Corporate Strategy & Communications,Manager,11527637.70743761,0.0,Very High,Excellent,1,44,849,28,34582913.12231283,69165826.24462566,322773855.8082531,2881909.4268594026,1.1425,Mid-term,14.0,4,2881909.4268594026,1,11527637.70743761,3.6
|
|
12289
data/df_train_YESUSFIX.csv
Normal file
12289
data/df_train_YESUSFIX.csv
Normal file
File diff suppressed because it is too large
Load Diff
BIN
model/clasification_final_model.sav
Normal file
BIN
model/clasification_final_model.sav
Normal file
Binary file not shown.
BIN
model/clasification_final_model_biasa.sav
Normal file
BIN
model/clasification_final_model_biasa.sav
Normal file
Binary file not shown.
BIN
model/clasification_final_model_smote.sav
Normal file
BIN
model/clasification_final_model_smote.sav
Normal file
Binary file not shown.
BIN
model/clasification_model.sav
Normal file
BIN
model/clasification_model.sav
Normal file
Binary file not shown.
BIN
model/clasification_model_biasa.sav
Normal file
BIN
model/clasification_model_biasa.sav
Normal file
Binary file not shown.
BIN
model/clasification_model_smote.sav
Normal file
BIN
model/clasification_model_smote.sav
Normal file
Binary file not shown.
BIN
model/regression_model.sav
Normal file
BIN
model/regression_model.sav
Normal file
Binary file not shown.
BIN
model/regression_model_1year.sav
Normal file
BIN
model/regression_model_1year.sav
Normal file
Binary file not shown.
BIN
model/regression_model_final.sav
Normal file
BIN
model/regression_model_final.sav
Normal file
Binary file not shown.
BIN
model/regression_model_final_1year.sav
Normal file
BIN
model/regression_model_final_1year.sav
Normal file
Binary file not shown.
3272
notebook/01_exploratory_data.ipynb
Normal file
3272
notebook/01_exploratory_data.ipynb
Normal file
File diff suppressed because one or more lines are too long
1518
notebook/03_model_klasifikasi.ipynb
Normal file
1518
notebook/03_model_klasifikasi.ipynb
Normal file
File diff suppressed because one or more lines are too long
1858
notebook/04_model_smote.ipynb
Normal file
1858
notebook/04_model_smote.ipynb
Normal file
File diff suppressed because one or more lines are too long
1487
notebook/05_model_rus.ipynb
Normal file
1487
notebook/05_model_rus.ipynb
Normal file
File diff suppressed because one or more lines are too long
1462
notebook/06_model_jan23.ipynb
Normal file
1462
notebook/06_model_jan23.ipynb
Normal file
File diff suppressed because one or more lines are too long
1498
notebook/07_model_aug23.ipynb
Normal file
1498
notebook/07_model_aug23.ipynb
Normal file
File diff suppressed because one or more lines are too long
507
notebook/catboost_info/catboost_training.json
Normal file
507
notebook/catboost_info/catboost_training.json
Normal file
@ -0,0 +1,507 @@
|
||||
{
|
||||
"meta":{"test_sets":[],"test_metrics":[],"learn_metrics":[{"best_value":"Min","name":"RMSE"}],"launch_mode":"Train","parameters":"","iteration_count":503,"learn_sets":["learn"],"name":"experiment"},
|
||||
"iterations":[
|
||||
{"learn":[13.58808486],"iteration":0,"passed_time":0.02130171405,"remaining_time":10.69346046},
|
||||
{"learn":[12.62483223],"iteration":1,"passed_time":0.0472264766,"remaining_time":11.83023239},
|
||||
{"learn":[11.87960578],"iteration":2,"passed_time":0.0717183465,"remaining_time":11.95305775},
|
||||
{"learn":[11.01202277],"iteration":3,"passed_time":0.09610878625,"remaining_time":11.98957108},
|
||||
{"learn":[10.24267735],"iteration":4,"passed_time":0.1204468423,"remaining_time":11.9965055},
|
||||
{"learn":[9.467276747],"iteration":5,"passed_time":0.1419032665,"remaining_time":11.75432057},
|
||||
{"learn":[8.836266406],"iteration":6,"passed_time":0.1678128572,"remaining_time":11.89073959},
|
||||
{"learn":[8.326046733],"iteration":7,"passed_time":0.1860918119,"remaining_time":11.51443086},
|
||||
{"learn":[7.699500054],"iteration":8,"passed_time":0.2112730438,"remaining_time":11.59654263},
|
||||
{"learn":[7.162245325],"iteration":9,"passed_time":0.2301565679,"remaining_time":11.3467188},
|
||||
{"learn":[6.634236654],"iteration":10,"passed_time":0.2549291237,"remaining_time":11.40228444},
|
||||
{"learn":[6.226534161],"iteration":11,"passed_time":0.2791572663,"remaining_time":11.42218481},
|
||||
{"learn":[5.925392597],"iteration":12,"passed_time":0.2937574494,"remaining_time":11.07239617},
|
||||
{"learn":[5.505306039],"iteration":13,"passed_time":0.3177035151,"remaining_time":11.09692992},
|
||||
{"learn":[5.281901805],"iteration":14,"passed_time":0.3434385815,"remaining_time":11.17320185},
|
||||
{"learn":[4.96460665],"iteration":15,"passed_time":0.3788844577,"remaining_time":11.53229568},
|
||||
{"learn":[4.646961549],"iteration":16,"passed_time":0.4185327301,"remaining_time":11.96511217},
|
||||
{"learn":[4.32976997],"iteration":17,"passed_time":0.4493261818,"remaining_time":12.10684434},
|
||||
{"learn":[4.1094694],"iteration":18,"passed_time":0.4776561154,"remaining_time":12.16766105},
|
||||
{"learn":[3.834591208],"iteration":19,"passed_time":0.5113218134,"remaining_time":12.34842179},
|
||||
{"learn":[3.58965108],"iteration":20,"passed_time":0.5412251337,"remaining_time":12.42240545},
|
||||
{"learn":[3.450988126],"iteration":21,"passed_time":0.5667296281,"remaining_time":12.3907705},
|
||||
{"learn":[3.270843636],"iteration":22,"passed_time":0.5940689616,"remaining_time":12.39796094},
|
||||
{"learn":[3.138291781],"iteration":23,"passed_time":0.6213745051,"remaining_time":12.4015995},
|
||||
{"learn":[2.988050539],"iteration":24,"passed_time":0.6478890738,"remaining_time":12.38763909},
|
||||
{"learn":[2.910438669],"iteration":25,"passed_time":0.6787447238,"remaining_time":12.45235513},
|
||||
{"learn":[2.811270012],"iteration":26,"passed_time":0.7054940407,"remaining_time":12.43759864},
|
||||
{"learn":[2.700498133],"iteration":27,"passed_time":0.7311008955,"remaining_time":12.40260448},
|
||||
{"learn":[2.597133725],"iteration":28,"passed_time":0.7593494483,"remaining_time":12.41143581},
|
||||
{"learn":[2.511189922],"iteration":29,"passed_time":0.7886103328,"remaining_time":12.43375625},
|
||||
{"learn":[2.401120456],"iteration":30,"passed_time":0.8153022466,"remaining_time":12.41363421},
|
||||
{"learn":[2.300900425],"iteration":31,"passed_time":0.8422253576,"remaining_time":12.39650448},
|
||||
{"learn":[2.209069421],"iteration":32,"passed_time":0.8699767157,"remaining_time":12.39057747},
|
||||
{"learn":[2.129311046],"iteration":33,"passed_time":0.8972997607,"remaining_time":12.37745846},
|
||||
{"learn":[2.069363841],"iteration":34,"passed_time":0.9250491438,"remaining_time":12.36922855},
|
||||
{"learn":[1.985829305],"iteration":35,"passed_time":0.9518226687,"remaining_time":12.34725517},
|
||||
{"learn":[1.911280855],"iteration":36,"passed_time":0.9787377967,"remaining_time":12.32680576},
|
||||
{"learn":[1.894515034],"iteration":37,"passed_time":0.994070081,"remaining_time":12.16427862},
|
||||
{"learn":[1.838204222],"iteration":38,"passed_time":1.023821486,"remaining_time":12.1808505},
|
||||
{"learn":[1.785170681],"iteration":39,"passed_time":1.060069958,"remaining_time":12.27030976},
|
||||
{"learn":[1.753675201],"iteration":40,"passed_time":1.095798124,"remaining_time":12.34777398},
|
||||
{"learn":[1.722030076],"iteration":41,"passed_time":1.124057332,"remaining_time":12.33786739},
|
||||
{"learn":[1.67876843],"iteration":42,"passed_time":1.152954221,"remaining_time":12.33392888},
|
||||
{"learn":[1.635079647],"iteration":43,"passed_time":1.192076817,"remaining_time":12.43552861},
|
||||
{"learn":[1.609427669],"iteration":44,"passed_time":1.22456508,"remaining_time":12.46335126},
|
||||
{"learn":[1.583104609],"iteration":45,"passed_time":1.252357056,"remaining_time":12.4418951},
|
||||
{"learn":[1.561084152],"iteration":46,"passed_time":1.284720848,"remaining_time":12.46452567},
|
||||
{"learn":[1.544661982],"iteration":47,"passed_time":1.312844501,"remaining_time":12.44467183},
|
||||
{"learn":[1.530253458],"iteration":48,"passed_time":1.341227461,"remaining_time":12.42688301},
|
||||
{"learn":[1.487070936],"iteration":49,"passed_time":1.400880807,"remaining_time":12.69198011},
|
||||
{"learn":[1.468509458],"iteration":50,"passed_time":1.455698068,"remaining_time":12.90148092},
|
||||
{"learn":[1.445780775],"iteration":51,"passed_time":1.485182107,"remaining_time":12.88109865},
|
||||
{"learn":[1.419436702],"iteration":52,"passed_time":1.51158936,"remaining_time":12.83424928},
|
||||
{"learn":[1.4031835],"iteration":53,"passed_time":1.541547783,"remaining_time":12.81768434},
|
||||
{"learn":[1.381988161],"iteration":54,"passed_time":1.570273039,"remaining_time":12.79058767},
|
||||
{"learn":[1.366214971],"iteration":55,"passed_time":1.599881893,"remaining_time":12.77048582},
|
||||
{"learn":[1.339571223],"iteration":56,"passed_time":1.628148145,"remaining_time":12.73954513},
|
||||
{"learn":[1.335983582],"iteration":57,"passed_time":1.657104377,"remaining_time":12.71399048},
|
||||
{"learn":[1.322972843],"iteration":58,"passed_time":1.678993293,"remaining_time":12.63513597},
|
||||
{"learn":[1.312056185],"iteration":59,"passed_time":1.706762828,"remaining_time":12.60159888},
|
||||
{"learn":[1.298794996],"iteration":60,"passed_time":1.735910832,"remaining_time":12.57823914},
|
||||
{"learn":[1.296696703],"iteration":61,"passed_time":1.767670978,"remaining_time":12.5732726},
|
||||
{"learn":[1.280953208],"iteration":62,"passed_time":1.798174541,"remaining_time":12.55867933},
|
||||
{"learn":[1.249517326],"iteration":63,"passed_time":1.827539723,"remaining_time":12.53578029},
|
||||
{"learn":[1.243758843],"iteration":64,"passed_time":1.856963124,"remaining_time":12.51307459},
|
||||
{"learn":[1.227270444],"iteration":65,"passed_time":1.884276006,"remaining_time":12.47619113},
|
||||
{"learn":[1.221913871],"iteration":66,"passed_time":1.912450712,"remaining_time":12.44520165},
|
||||
{"learn":[1.211554868],"iteration":67,"passed_time":1.939277714,"remaining_time":12.40567361},
|
||||
{"learn":[1.193791145],"iteration":68,"passed_time":1.966005501,"remaining_time":12.36588967},
|
||||
{"learn":[1.176309999],"iteration":69,"passed_time":1.992361231,"remaining_time":12.32417733},
|
||||
{"learn":[1.174147845],"iteration":70,"passed_time":2.010692002,"remaining_time":12.23406965},
|
||||
{"learn":[1.172532833],"iteration":71,"passed_time":2.034649735,"remaining_time":12.17963939},
|
||||
{"learn":[1.159681802],"iteration":72,"passed_time":2.06242569,"remaining_time":12.14853489},
|
||||
{"learn":[1.133306101],"iteration":73,"passed_time":2.089433523,"remaining_time":12.11306732},
|
||||
{"learn":[1.131125145],"iteration":74,"passed_time":2.114782286,"remaining_time":12.06835758},
|
||||
{"learn":[1.124145123],"iteration":75,"passed_time":2.138204251,"remaining_time":12.01333178},
|
||||
{"learn":[1.117783438],"iteration":76,"passed_time":2.163338372,"remaining_time":11.96859931},
|
||||
{"learn":[1.098780101],"iteration":77,"passed_time":2.18797879,"remaining_time":11.9216793},
|
||||
{"learn":[1.090352071],"iteration":78,"passed_time":2.212400588,"remaining_time":11.87414999},
|
||||
{"learn":[1.080510671],"iteration":79,"passed_time":2.236488777,"remaining_time":11.82543441},
|
||||
{"learn":[1.055927489],"iteration":80,"passed_time":2.261295256,"remaining_time":11.78106911},
|
||||
{"learn":[1.047317785],"iteration":81,"passed_time":2.287410834,"remaining_time":11.74390197},
|
||||
{"learn":[1.020559186],"iteration":82,"passed_time":2.313002496,"remaining_time":11.70434998},
|
||||
{"learn":[1.003359299],"iteration":83,"passed_time":2.335900055,"remaining_time":11.65169194},
|
||||
{"learn":[0.9950193282],"iteration":84,"passed_time":2.361041801,"remaining_time":11.61077027},
|
||||
{"learn":[0.9746072291],"iteration":85,"passed_time":2.386442803,"remaining_time":11.57147266},
|
||||
{"learn":[0.9687993118],"iteration":86,"passed_time":2.411271029,"remaining_time":11.52975573},
|
||||
{"learn":[0.9489509266],"iteration":87,"passed_time":2.435739161,"remaining_time":11.48672445},
|
||||
{"learn":[0.9442011043],"iteration":88,"passed_time":2.461006478,"remaining_time":11.44782788},
|
||||
{"learn":[0.9398444894],"iteration":89,"passed_time":2.485903813,"remaining_time":11.40753639},
|
||||
{"learn":[0.9370515146],"iteration":90,"passed_time":2.511686575,"remaining_time":11.37159197},
|
||||
{"learn":[0.9332178849],"iteration":91,"passed_time":2.537432508,"remaining_time":11.33570392},
|
||||
{"learn":[0.9282521398],"iteration":92,"passed_time":2.563163091,"remaining_time":11.29996632},
|
||||
{"learn":[0.9217443],"iteration":93,"passed_time":2.589842448,"remaining_time":11.2685698},
|
||||
{"learn":[0.9115363529],"iteration":94,"passed_time":2.617204475,"remaining_time":11.24020448},
|
||||
{"learn":[0.9104000641],"iteration":95,"passed_time":2.637830044,"remaining_time":11.18330029},
|
||||
{"learn":[0.9001327933],"iteration":96,"passed_time":2.675261719,"remaining_time":11.19748719},
|
||||
{"learn":[0.8980751773],"iteration":97,"passed_time":2.707330131,"remaining_time":11.18845615},
|
||||
{"learn":[0.8805792328],"iteration":98,"passed_time":2.736115717,"remaining_time":11.16556313},
|
||||
{"learn":[0.8776013304],"iteration":99,"passed_time":2.772840483,"remaining_time":11.17454715},
|
||||
{"learn":[0.8689851882],"iteration":100,"passed_time":2.80247274,"remaining_time":11.15439645},
|
||||
{"learn":[0.8658509989],"iteration":101,"passed_time":2.830738765,"remaining_time":11.12868867},
|
||||
{"learn":[0.8637627211],"iteration":102,"passed_time":2.859335005,"remaining_time":11.10421361},
|
||||
{"learn":[0.8484368731],"iteration":103,"passed_time":2.887680638,"remaining_time":11.07869783},
|
||||
{"learn":[0.8474248221],"iteration":104,"passed_time":2.916910939,"remaining_time":11.05648146},
|
||||
{"learn":[0.8426691853],"iteration":105,"passed_time":2.945321918,"remaining_time":11.03106417},
|
||||
{"learn":[0.8386346964],"iteration":106,"passed_time":2.973386093,"remaining_time":11.00430741},
|
||||
{"learn":[0.828156733],"iteration":107,"passed_time":3.001566497,"remaining_time":10.97795154},
|
||||
{"learn":[0.8151322579],"iteration":108,"passed_time":3.029743603,"remaining_time":10.95155027},
|
||||
{"learn":[0.8028484747],"iteration":109,"passed_time":3.057845438,"remaining_time":10.92484779},
|
||||
{"learn":[0.8002146222],"iteration":110,"passed_time":3.092526667,"remaining_time":10.92135544},
|
||||
{"learn":[0.7967169569],"iteration":111,"passed_time":3.120625166,"remaining_time":10.89432536},
|
||||
{"learn":[0.7887194594],"iteration":112,"passed_time":3.148858962,"remaining_time":10.86774332},
|
||||
{"learn":[0.7859952808],"iteration":113,"passed_time":3.177718016,"remaining_time":10.84326586},
|
||||
{"learn":[0.7683267416],"iteration":114,"passed_time":3.20753367,"remaining_time":10.82193969},
|
||||
{"learn":[0.7612673592],"iteration":115,"passed_time":3.2372777,"remaining_time":10.80022819},
|
||||
{"learn":[0.7470680063],"iteration":116,"passed_time":3.266662299,"remaining_time":10.77719357},
|
||||
{"learn":[0.7440705985],"iteration":117,"passed_time":3.312048836,"remaining_time":10.80626103},
|
||||
{"learn":[0.7329359942],"iteration":118,"passed_time":3.348090912,"remaining_time":10.80392362},
|
||||
{"learn":[0.731214222],"iteration":119,"passed_time":3.38548841,"remaining_time":10.80535051},
|
||||
{"learn":[0.7235059755],"iteration":120,"passed_time":3.415795576,"remaining_time":10.78375132},
|
||||
{"learn":[0.7180252256],"iteration":121,"passed_time":3.460018448,"remaining_time":10.80546745},
|
||||
{"learn":[0.711303956],"iteration":122,"passed_time":3.490574825,"remaining_time":10.7838897},
|
||||
{"learn":[0.7068539492],"iteration":123,"passed_time":3.519971097,"remaining_time":10.75862134},
|
||||
{"learn":[0.7028971453],"iteration":124,"passed_time":3.550855617,"remaining_time":10.73778738},
|
||||
{"learn":[0.6994256689],"iteration":125,"passed_time":3.579964845,"remaining_time":10.71148211},
|
||||
{"learn":[0.6916014901],"iteration":126,"passed_time":3.61605279,"remaining_time":10.70579409},
|
||||
{"learn":[0.688880964],"iteration":127,"passed_time":3.650466226,"remaining_time":10.69472527},
|
||||
{"learn":[0.6815975729],"iteration":128,"passed_time":3.685792784,"remaining_time":10.68594187},
|
||||
{"learn":[0.6806228975],"iteration":129,"passed_time":3.721138265,"remaining_time":10.67680441},
|
||||
{"learn":[0.6767720669],"iteration":130,"passed_time":3.755095034,"remaining_time":10.6633233},
|
||||
{"learn":[0.6720286893],"iteration":131,"passed_time":3.790360283,"remaining_time":10.65320958},
|
||||
{"learn":[0.6648085456],"iteration":132,"passed_time":3.831818385,"remaining_time":10.65994588},
|
||||
{"learn":[0.6580857251],"iteration":133,"passed_time":3.876342676,"remaining_time":10.67440633},
|
||||
{"learn":[0.6534814215],"iteration":134,"passed_time":3.917146592,"remaining_time":10.67785145},
|
||||
{"learn":[0.6488846656],"iteration":135,"passed_time":3.956794869,"remaining_time":10.67752733},
|
||||
{"learn":[0.6462204842],"iteration":136,"passed_time":3.995808289,"remaining_time":10.67493309},
|
||||
{"learn":[0.6405271727],"iteration":137,"passed_time":4.033704611,"remaining_time":10.6688564},
|
||||
{"learn":[0.6344025537],"iteration":138,"passed_time":4.070637874,"remaining_time":10.6597999},
|
||||
{"learn":[0.6263288023],"iteration":139,"passed_time":4.109204717,"remaining_time":10.6545808},
|
||||
{"learn":[0.6206817793],"iteration":140,"passed_time":4.1510473,"remaining_time":10.65729874},
|
||||
{"learn":[0.6174178304],"iteration":141,"passed_time":4.190003694,"remaining_time":10.65205164},
|
||||
{"learn":[0.6137299779],"iteration":142,"passed_time":4.226806153,"remaining_time":10.6409106},
|
||||
{"learn":[0.6099397343],"iteration":143,"passed_time":4.265071478,"remaining_time":10.63306014},
|
||||
{"learn":[0.607903817],"iteration":144,"passed_time":4.304435948,"remaining_time":10.62750393},
|
||||
{"learn":[0.6003292151],"iteration":145,"passed_time":4.340924639,"remaining_time":10.61445271},
|
||||
{"learn":[0.5931800265],"iteration":146,"passed_time":4.376460915,"remaining_time":10.59877609},
|
||||
{"learn":[0.5905489975],"iteration":147,"passed_time":4.410824532,"remaining_time":10.5800183},
|
||||
{"learn":[0.5873460873],"iteration":148,"passed_time":4.450705686,"remaining_time":10.57415982},
|
||||
{"learn":[0.5849497365],"iteration":149,"passed_time":4.484235776,"remaining_time":10.55290153},
|
||||
{"learn":[0.5826164565],"iteration":150,"passed_time":4.519431969,"remaining_time":10.53536459},
|
||||
{"learn":[0.5783740986],"iteration":151,"passed_time":4.553599951,"remaining_time":10.51522094},
|
||||
{"learn":[0.5735266304],"iteration":152,"passed_time":4.586666472,"remaining_time":10.49237428},
|
||||
{"learn":[0.5709951355],"iteration":153,"passed_time":4.621039975,"remaining_time":10.47235683},
|
||||
{"learn":[0.5673019496],"iteration":154,"passed_time":4.656150933,"remaining_time":10.45380984},
|
||||
{"learn":[0.5648214969],"iteration":155,"passed_time":4.691307494,"remaining_time":10.43515193},
|
||||
{"learn":[0.5623393232],"iteration":156,"passed_time":4.726029683,"remaining_time":10.41532656},
|
||||
{"learn":[0.559730852],"iteration":157,"passed_time":4.759554943,"remaining_time":10.39269908},
|
||||
{"learn":[0.5569077712],"iteration":158,"passed_time":4.793425622,"remaining_time":10.37068185},
|
||||
{"learn":[0.5557318946],"iteration":159,"passed_time":4.825899136,"remaining_time":10.34552127},
|
||||
{"learn":[0.5516971265],"iteration":160,"passed_time":4.863787307,"remaining_time":10.33177179},
|
||||
{"learn":[0.5468841888],"iteration":161,"passed_time":4.892864861,"remaining_time":10.2991785},
|
||||
{"learn":[0.5454300573],"iteration":162,"passed_time":4.941664773,"remaining_time":10.30776701},
|
||||
{"learn":[0.5412918096],"iteration":163,"passed_time":4.993962445,"remaining_time":10.32288579},
|
||||
{"learn":[0.5386432559],"iteration":164,"passed_time":5.04005661,"remaining_time":10.3244796},
|
||||
{"learn":[0.5364083166],"iteration":165,"passed_time":5.09383362,"remaining_time":10.34109596},
|
||||
{"learn":[0.5319892608],"iteration":166,"passed_time":5.142750633,"remaining_time":10.34709109},
|
||||
{"learn":[0.5295244769],"iteration":167,"passed_time":5.177614977,"remaining_time":10.32441082},
|
||||
{"learn":[0.5280213327],"iteration":168,"passed_time":5.213203744,"remaining_time":10.30301805},
|
||||
{"learn":[0.5263065175],"iteration":169,"passed_time":5.250341979,"remaining_time":10.28449341},
|
||||
{"learn":[0.5252276381],"iteration":170,"passed_time":5.283203954,"remaining_time":10.25744861},
|
||||
{"learn":[0.5239500987],"iteration":171,"passed_time":5.317374111,"remaining_time":10.23285367},
|
||||
{"learn":[0.522215478],"iteration":172,"passed_time":5.350702313,"remaining_time":10.20654198},
|
||||
{"learn":[0.5185456394],"iteration":173,"passed_time":5.384580144,"remaining_time":10.18118889},
|
||||
{"learn":[0.5151447764],"iteration":174,"passed_time":5.418844083,"remaining_time":10.15646205},
|
||||
{"learn":[0.5123790565],"iteration":175,"passed_time":5.454999267,"remaining_time":10.13514068},
|
||||
{"learn":[0.5105161478],"iteration":176,"passed_time":5.488800685,"remaining_time":10.10931652},
|
||||
{"learn":[0.5079036758],"iteration":177,"passed_time":5.525430135,"remaining_time":10.08856626},
|
||||
{"learn":[0.5050291032],"iteration":178,"passed_time":5.562022995,"remaining_time":10.06757235},
|
||||
{"learn":[0.5043777207],"iteration":179,"passed_time":5.604800702,"remaining_time":10.05750348},
|
||||
{"learn":[0.5013010667],"iteration":180,"passed_time":5.642698287,"remaining_time":10.03839143},
|
||||
{"learn":[0.4984627705],"iteration":181,"passed_time":5.685613043,"remaining_time":10.02792191},
|
||||
{"learn":[0.4968632745],"iteration":182,"passed_time":5.721082002,"remaining_time":10.00407782},
|
||||
{"learn":[0.4940402214],"iteration":183,"passed_time":5.757406675,"remaining_time":9.98159092},
|
||||
{"learn":[0.4928892254],"iteration":184,"passed_time":5.803019857,"remaining_time":9.974920619},
|
||||
{"learn":[0.4907074494],"iteration":185,"passed_time":5.838322054,"remaining_time":9.950258554},
|
||||
{"learn":[0.4876962696],"iteration":186,"passed_time":5.881876004,"remaining_time":9.939426831},
|
||||
{"learn":[0.4849914547],"iteration":187,"passed_time":5.920990111,"remaining_time":9.920807898},
|
||||
{"learn":[0.4844945497],"iteration":188,"passed_time":5.978797635,"remaining_time":9.933028875},
|
||||
{"learn":[0.4835907636],"iteration":189,"passed_time":6.033888489,"remaining_time":9.940037354},
|
||||
{"learn":[0.4817217575],"iteration":190,"passed_time":6.099722143,"remaining_time":9.963944024},
|
||||
{"learn":[0.4806926045],"iteration":191,"passed_time":6.137858933,"remaining_time":9.94205275},
|
||||
{"learn":[0.4781820036],"iteration":192,"passed_time":6.224703682,"remaining_time":9.998228712},
|
||||
{"learn":[0.4762474883],"iteration":193,"passed_time":6.320826718,"remaining_time":10.06770853},
|
||||
{"learn":[0.4744650541],"iteration":194,"passed_time":6.352936467,"remaining_time":10.0343817},
|
||||
{"learn":[0.4726753707],"iteration":195,"passed_time":6.377545898,"remaining_time":9.98931934},
|
||||
{"learn":[0.4707991554],"iteration":196,"passed_time":6.407113669,"remaining_time":9.952166409},
|
||||
{"learn":[0.4687009792],"iteration":197,"passed_time":6.437906632,"remaining_time":9.916977388},
|
||||
{"learn":[0.4686748537],"iteration":198,"passed_time":6.469970512,"remaining_time":9.883774048},
|
||||
{"learn":[0.468649655],"iteration":199,"passed_time":6.500797086,"remaining_time":9.848707585},
|
||||
{"learn":[0.4678309108],"iteration":200,"passed_time":6.533936252,"remaining_time":9.817157951},
|
||||
{"learn":[0.4664369881],"iteration":201,"passed_time":6.55995317,"remaining_time":9.774979724},
|
||||
{"learn":[0.4642083806],"iteration":202,"passed_time":6.591070524,"remaining_time":9.740498312},
|
||||
{"learn":[0.4627366442],"iteration":203,"passed_time":6.621755043,"remaining_time":9.70541548},
|
||||
{"learn":[0.462426993],"iteration":204,"passed_time":6.656073955,"remaining_time":9.675658725},
|
||||
{"learn":[0.4604194306],"iteration":205,"passed_time":6.687738117,"remaining_time":9.642030198},
|
||||
{"learn":[0.4603836971],"iteration":206,"passed_time":6.720645237,"remaining_time":9.61019802},
|
||||
{"learn":[0.4584066347],"iteration":207,"passed_time":6.75349156,"remaining_time":9.57826928},
|
||||
{"learn":[0.4565947727],"iteration":208,"passed_time":6.787906098,"remaining_time":9.548537765},
|
||||
{"learn":[0.454641595],"iteration":209,"passed_time":6.819665625,"remaining_time":9.515057277},
|
||||
{"learn":[0.4525193871],"iteration":210,"passed_time":6.851263938,"remaining_time":9.48137},
|
||||
{"learn":[0.4515078063],"iteration":211,"passed_time":6.882326522,"remaining_time":9.446967066},
|
||||
{"learn":[0.4507703892],"iteration":212,"passed_time":6.915932884,"remaining_time":9.416058856},
|
||||
{"learn":[0.4489555654],"iteration":213,"passed_time":6.948371506,"remaining_time":9.383548435},
|
||||
{"learn":[0.4481694343],"iteration":214,"passed_time":6.98204594,"remaining_time":9.352694097},
|
||||
{"learn":[0.44764777],"iteration":215,"passed_time":7.013960345,"remaining_time":9.319475088},
|
||||
{"learn":[0.4472988696],"iteration":216,"passed_time":7.0432508,"remaining_time":9.28280981},
|
||||
{"learn":[0.4466756899],"iteration":217,"passed_time":7.073881951,"remaining_time":9.247964936},
|
||||
{"learn":[0.4463571454],"iteration":218,"passed_time":7.106540522,"remaining_time":9.215787709},
|
||||
{"learn":[0.4449564513],"iteration":219,"passed_time":7.140164716,"remaining_time":9.184848248},
|
||||
{"learn":[0.4433930265],"iteration":220,"passed_time":7.172574309,"remaining_time":9.152334638},
|
||||
{"learn":[0.4420229053],"iteration":221,"passed_time":7.206817791,"remaining_time":9.122143241},
|
||||
{"learn":[0.4408451324],"iteration":222,"passed_time":7.239797123,"remaining_time":9.090328226},
|
||||
{"learn":[0.4399067036],"iteration":223,"passed_time":7.272601545,"remaining_time":9.058284961},
|
||||
{"learn":[0.4392330829],"iteration":224,"passed_time":7.309464803,"remaining_time":9.031249845},
|
||||
{"learn":[0.438938476],"iteration":225,"passed_time":7.345667144,"remaining_time":9.003317695},
|
||||
{"learn":[0.436577457],"iteration":226,"passed_time":7.377763821,"remaining_time":8.97032077},
|
||||
{"learn":[0.4365593699],"iteration":227,"passed_time":7.410956404,"remaining_time":8.938653557},
|
||||
{"learn":[0.4365254657],"iteration":228,"passed_time":7.453034016,"remaining_time":8.917604019},
|
||||
{"learn":[0.4364881079],"iteration":229,"passed_time":7.491818234,"remaining_time":8.892462512},
|
||||
{"learn":[0.4360124705],"iteration":230,"passed_time":7.525246294,"remaining_time":8.860896069},
|
||||
{"learn":[0.4356380031],"iteration":231,"passed_time":7.557242233,"remaining_time":8.827640712},
|
||||
{"learn":[0.4335143285],"iteration":232,"passed_time":7.59055794,"remaining_time":8.79592551},
|
||||
{"learn":[0.4331101892],"iteration":233,"passed_time":7.624467276,"remaining_time":8.764879048},
|
||||
{"learn":[0.430970219],"iteration":234,"passed_time":7.656795918,"remaining_time":8.732005558},
|
||||
{"learn":[0.4291763864],"iteration":235,"passed_time":7.688920423,"remaining_time":8.698905733},
|
||||
{"learn":[0.4284081813],"iteration":236,"passed_time":7.720753781,"remaining_time":8.665487366},
|
||||
{"learn":[0.4277548346],"iteration":237,"passed_time":7.752683091,"remaining_time":8.632189156},
|
||||
{"learn":[0.4276024846],"iteration":238,"passed_time":7.784288942,"remaining_time":8.598545107},
|
||||
{"learn":[0.4272588452],"iteration":239,"passed_time":7.817772762,"remaining_time":8.566975985},
|
||||
{"learn":[0.4267288839],"iteration":240,"passed_time":7.860052268,"remaining_time":8.544953088},
|
||||
{"learn":[0.4263036549],"iteration":241,"passed_time":7.904956215,"remaining_time":8.525593273},
|
||||
{"learn":[0.425311483],"iteration":242,"passed_time":7.955205009,"remaining_time":8.511741985},
|
||||
{"learn":[0.4248590533],"iteration":243,"passed_time":8.022034778,"remaining_time":8.515192653},
|
||||
{"learn":[0.4247925141],"iteration":244,"passed_time":8.071417745,"remaining_time":8.499697054},
|
||||
{"learn":[0.4235822308],"iteration":245,"passed_time":8.117426101,"remaining_time":8.480400438},
|
||||
{"learn":[0.423381816],"iteration":246,"passed_time":8.163679132,"remaining_time":8.461141125},
|
||||
{"learn":[0.422406524],"iteration":247,"passed_time":8.211649364,"remaining_time":8.443429789},
|
||||
{"learn":[0.4221061701],"iteration":248,"passed_time":8.26197146,"remaining_time":8.427874502},
|
||||
{"learn":[0.4216216148],"iteration":249,"passed_time":8.309979365,"remaining_time":8.409699117},
|
||||
{"learn":[0.4209266672],"iteration":250,"passed_time":8.349931177,"remaining_time":8.383197836},
|
||||
{"learn":[0.4207103968],"iteration":251,"passed_time":8.386440859,"remaining_time":8.353161331},
|
||||
{"learn":[0.4200544886],"iteration":252,"passed_time":8.42300067,"remaining_time":8.323123192},
|
||||
{"learn":[0.4188705018],"iteration":253,"passed_time":8.460837492,"remaining_time":8.294285573},
|
||||
{"learn":[0.4188679978],"iteration":254,"passed_time":8.496532989,"remaining_time":8.263294829},
|
||||
{"learn":[0.4180786362],"iteration":255,"passed_time":8.53415799,"remaining_time":8.234128998},
|
||||
{"learn":[0.4175746323],"iteration":256,"passed_time":8.568721047,"remaining_time":8.20196645},
|
||||
{"learn":[0.4175379476],"iteration":257,"passed_time":8.607391634,"remaining_time":8.173685854},
|
||||
{"learn":[0.4162431524],"iteration":258,"passed_time":8.649406884,"remaining_time":8.148475983},
|
||||
{"learn":[0.414917431],"iteration":259,"passed_time":8.685380869,"remaining_time":8.117490582},
|
||||
{"learn":[0.4136165046],"iteration":260,"passed_time":8.726316928,"remaining_time":8.091067803},
|
||||
{"learn":[0.4125298369],"iteration":261,"passed_time":8.762491669,"remaining_time":8.06015455},
|
||||
{"learn":[0.4116519923],"iteration":262,"passed_time":8.799658375,"remaining_time":8.030106502},
|
||||
{"learn":[0.4116088618],"iteration":263,"passed_time":8.834139091,"remaining_time":7.997572889},
|
||||
{"learn":[0.4099374536],"iteration":264,"passed_time":8.869014287,"remaining_time":7.965378869},
|
||||
{"learn":[0.4093114873],"iteration":265,"passed_time":8.902295136,"remaining_time":7.931744162},
|
||||
{"learn":[0.4077541623],"iteration":266,"passed_time":8.940916381,"remaining_time":7.902832457},
|
||||
{"learn":[0.4071381409],"iteration":267,"passed_time":8.975835483,"remaining_time":7.87060201},
|
||||
{"learn":[0.4064735012],"iteration":268,"passed_time":9.010543977,"remaining_time":7.838168367},
|
||||
{"learn":[0.4064638784],"iteration":269,"passed_time":9.043951972,"remaining_time":7.804595591},
|
||||
{"learn":[0.404827975],"iteration":270,"passed_time":9.078973044,"remaining_time":7.772404968},
|
||||
{"learn":[0.4046356577],"iteration":271,"passed_time":9.105824805,"remaining_time":7.733255625},
|
||||
{"learn":[0.40398481],"iteration":272,"passed_time":9.139609309,"remaining_time":7.700037147},
|
||||
{"learn":[0.403390502],"iteration":273,"passed_time":9.171012024,"remaining_time":7.664823918},
|
||||
{"learn":[0.4010124929],"iteration":274,"passed_time":9.203370322,"remaining_time":7.630430667},
|
||||
{"learn":[0.4006799881],"iteration":275,"passed_time":9.235958483,"remaining_time":7.596241216},
|
||||
{"learn":[0.4003926611],"iteration":276,"passed_time":9.269242723,"remaining_time":7.562631247},
|
||||
{"learn":[0.4003693829],"iteration":277,"passed_time":9.303646415,"remaining_time":7.529929652},
|
||||
{"learn":[0.3995497889],"iteration":278,"passed_time":9.33678007,"remaining_time":7.496196186},
|
||||
{"learn":[0.3979759218],"iteration":279,"passed_time":9.371793944,"remaining_time":7.463964462},
|
||||
{"learn":[0.3979319483],"iteration":280,"passed_time":9.405314435,"remaining_time":7.430533112},
|
||||
{"learn":[0.3968748134],"iteration":281,"passed_time":9.440108837,"remaining_time":7.398099479},
|
||||
{"learn":[0.3968584858],"iteration":282,"passed_time":9.470231054,"remaining_time":7.362017074},
|
||||
{"learn":[0.395215138],"iteration":283,"passed_time":9.501734872,"remaining_time":7.327042031},
|
||||
{"learn":[0.3946613442],"iteration":284,"passed_time":9.535359553,"remaining_time":7.293713623},
|
||||
{"learn":[0.3935966052],"iteration":285,"passed_time":9.571062366,"remaining_time":7.261959907},
|
||||
{"learn":[0.3930598637],"iteration":286,"passed_time":9.616923265,"remaining_time":7.237823781},
|
||||
{"learn":[0.3917066514],"iteration":287,"passed_time":9.65788346,"remaining_time":7.209878277},
|
||||
{"learn":[0.3913164683],"iteration":288,"passed_time":9.690869017,"remaining_time":7.175937611},
|
||||
{"learn":[0.390912542],"iteration":289,"passed_time":9.723448161,"remaining_time":7.141705029},
|
||||
{"learn":[0.3904180604],"iteration":290,"passed_time":9.763516119,"remaining_time":7.112939578},
|
||||
{"learn":[0.3904014674],"iteration":291,"passed_time":9.804214631,"remaining_time":7.084552353},
|
||||
{"learn":[0.3895520859],"iteration":292,"passed_time":9.837368173,"remaining_time":7.050673434},
|
||||
{"learn":[0.3885736358],"iteration":293,"passed_time":9.868129399,"remaining_time":7.01509879},
|
||||
{"learn":[0.388147543],"iteration":294,"passed_time":9.898078734,"remaining_time":6.978984327},
|
||||
{"learn":[0.3878462694],"iteration":295,"passed_time":9.928829761,"remaining_time":6.943472164},
|
||||
{"learn":[0.3875113131],"iteration":296,"passed_time":9.960839525,"remaining_time":6.908865125},
|
||||
{"learn":[0.3870290096],"iteration":297,"passed_time":9.989807043,"remaining_time":6.872182697},
|
||||
{"learn":[0.3865674143],"iteration":298,"passed_time":10.0193806,"remaining_time":6.835965358},
|
||||
{"learn":[0.3858039114],"iteration":299,"passed_time":10.04716432,"remaining_time":6.798581191},
|
||||
{"learn":[0.3858017702],"iteration":300,"passed_time":10.0764395,"remaining_time":6.762261727},
|
||||
{"learn":[0.3857553577],"iteration":301,"passed_time":10.10388711,"remaining_time":6.724772546},
|
||||
{"learn":[0.3846671317],"iteration":302,"passed_time":10.12971701,"remaining_time":6.686281854},
|
||||
{"learn":[0.3843946786],"iteration":303,"passed_time":10.15584999,"remaining_time":6.648072856},
|
||||
{"learn":[0.3835134942],"iteration":304,"passed_time":10.18424436,"remaining_time":6.611411093},
|
||||
{"learn":[0.3823072693],"iteration":305,"passed_time":10.21163728,"remaining_time":6.574158638},
|
||||
{"learn":[0.3820568223],"iteration":306,"passed_time":10.23865226,"remaining_time":6.536729127},
|
||||
{"learn":[0.3817080346],"iteration":307,"passed_time":10.26541503,"remaining_time":6.499207566},
|
||||
{"learn":[0.3816959291],"iteration":308,"passed_time":10.29079314,"remaining_time":6.460886306},
|
||||
{"learn":[0.3816845889],"iteration":309,"passed_time":10.31747939,"remaining_time":6.423462978},
|
||||
{"learn":[0.3814545126],"iteration":310,"passed_time":10.34674855,"remaining_time":6.387703283},
|
||||
{"learn":[0.3808179988],"iteration":311,"passed_time":10.3907196,"remaining_time":6.360985394},
|
||||
{"learn":[0.3803765403],"iteration":312,"passed_time":10.42850882,"remaining_time":6.330404718},
|
||||
{"learn":[0.3800856614],"iteration":313,"passed_time":10.45995996,"remaining_time":6.295963159},
|
||||
{"learn":[0.3797233376],"iteration":314,"passed_time":10.4905818,"remaining_time":6.261045645},
|
||||
{"learn":[0.3795761939],"iteration":315,"passed_time":10.52926968,"remaining_time":6.230928578},
|
||||
{"learn":[0.3787129895],"iteration":316,"passed_time":10.55958795,"remaining_time":6.195846558},
|
||||
{"learn":[0.3771809616],"iteration":317,"passed_time":10.58914241,"remaining_time":6.160350142},
|
||||
{"learn":[0.3767438289],"iteration":318,"passed_time":10.62101053,"remaining_time":6.126225512},
|
||||
{"learn":[0.3753641143],"iteration":319,"passed_time":10.6533146,"remaining_time":6.092364289},
|
||||
{"learn":[0.3748287029],"iteration":320,"passed_time":10.68315079,"remaining_time":6.057113531},
|
||||
{"learn":[0.3741987104],"iteration":321,"passed_time":10.71436215,"remaining_time":6.022669409},
|
||||
{"learn":[0.3741930567],"iteration":322,"passed_time":10.74481445,"remaining_time":5.987822296},
|
||||
{"learn":[0.3733901372],"iteration":323,"passed_time":10.77560717,"remaining_time":5.953190379},
|
||||
{"learn":[0.3724050344],"iteration":324,"passed_time":10.80812632,"remaining_time":5.919527646},
|
||||
{"learn":[0.3711094125],"iteration":325,"passed_time":10.83874956,"remaining_time":5.884842553},
|
||||
{"learn":[0.3710921975],"iteration":326,"passed_time":10.86851278,"remaining_time":5.849719416},
|
||||
{"learn":[0.370750936],"iteration":327,"passed_time":10.89894384,"remaining_time":5.814985282},
|
||||
{"learn":[0.3707297971],"iteration":328,"passed_time":10.92792389,"remaining_time":5.779509897},
|
||||
{"learn":[0.3702612607],"iteration":329,"passed_time":10.95771964,"remaining_time":5.74450151},
|
||||
{"learn":[0.370010945],"iteration":330,"passed_time":10.98806682,"remaining_time":5.709811155},
|
||||
{"learn":[0.3697202228],"iteration":331,"passed_time":11.01775475,"remaining_time":5.674807418},
|
||||
{"learn":[0.3695156463],"iteration":332,"passed_time":11.0479585,"remaining_time":5.640098932},
|
||||
{"learn":[0.3691364976],"iteration":333,"passed_time":11.07648594,"remaining_time":5.604569231},
|
||||
{"learn":[0.3691274375],"iteration":334,"passed_time":11.10672135,"remaining_time":5.56993787},
|
||||
{"learn":[0.3691086164],"iteration":335,"passed_time":11.1391201,"remaining_time":5.536407906},
|
||||
{"learn":[0.3688088453],"iteration":336,"passed_time":11.16924591,"remaining_time":5.501765048},
|
||||
{"learn":[0.3685305322],"iteration":337,"passed_time":11.20179647,"remaining_time":5.468332598},
|
||||
{"learn":[0.3678253374],"iteration":338,"passed_time":11.23623125,"remaining_time":5.43581689},
|
||||
{"learn":[0.3672351251],"iteration":339,"passed_time":11.26631203,"remaining_time":5.401202533},
|
||||
{"learn":[0.3654965022],"iteration":340,"passed_time":11.29739216,"remaining_time":5.367089529},
|
||||
{"learn":[0.3645040698],"iteration":341,"passed_time":11.32719643,"remaining_time":5.332393642},
|
||||
{"learn":[0.3645009295],"iteration":342,"passed_time":11.35693035,"remaining_time":5.29769346},
|
||||
{"learn":[0.3644654369],"iteration":343,"passed_time":11.3857504,"remaining_time":5.262599747},
|
||||
{"learn":[0.3644610266],"iteration":344,"passed_time":11.41482869,"remaining_time":5.227660677},
|
||||
{"learn":[0.3644301138],"iteration":345,"passed_time":11.44325898,"remaining_time":5.192461443},
|
||||
{"learn":[0.3635231348],"iteration":346,"passed_time":11.47246349,"remaining_time":5.157649294},
|
||||
{"learn":[0.3628281753],"iteration":347,"passed_time":11.50184197,"remaining_time":5.122946853},
|
||||
{"learn":[0.3619989696],"iteration":348,"passed_time":11.53171035,"remaining_time":5.088491101},
|
||||
{"learn":[0.3619869247],"iteration":349,"passed_time":11.5610328,"remaining_time":5.053822911},
|
||||
{"learn":[0.3618156112],"iteration":350,"passed_time":11.5906234,"remaining_time":5.019301299},
|
||||
{"learn":[0.3615283087],"iteration":351,"passed_time":11.62055208,"remaining_time":4.984952737},
|
||||
{"learn":[0.3612599472],"iteration":352,"passed_time":11.65231434,"remaining_time":4.951408359},
|
||||
{"learn":[0.3609652811],"iteration":353,"passed_time":11.68236592,"remaining_time":4.917154017},
|
||||
{"learn":[0.3600041386],"iteration":354,"passed_time":11.71175522,"remaining_time":4.882647248},
|
||||
{"learn":[0.3597549318],"iteration":355,"passed_time":11.7452711,"remaining_time":4.849873178},
|
||||
{"learn":[0.3596048876],"iteration":356,"passed_time":11.78364477,"remaining_time":4.819081615},
|
||||
{"learn":[0.3579628353],"iteration":357,"passed_time":11.82186138,"remaining_time":4.788184079},
|
||||
{"learn":[0.3577226659],"iteration":358,"passed_time":11.85959692,"remaining_time":4.757052803},
|
||||
{"learn":[0.3563112921],"iteration":359,"passed_time":11.90079818,"remaining_time":4.727261499},
|
||||
{"learn":[0.3554446748],"iteration":360,"passed_time":11.94784931,"remaining_time":4.699708038},
|
||||
{"learn":[0.3548056563],"iteration":361,"passed_time":12.00263704,"remaining_time":4.675060285},
|
||||
{"learn":[0.3545563741],"iteration":362,"passed_time":12.04384759,"remaining_time":4.64501009},
|
||||
{"learn":[0.3545071423],"iteration":363,"passed_time":12.08572159,"remaining_time":4.615151926},
|
||||
{"learn":[0.3535092298],"iteration":364,"passed_time":12.12755954,"remaining_time":4.585214293},
|
||||
{"learn":[0.3535024318],"iteration":365,"passed_time":12.1704813,"remaining_time":4.555617317},
|
||||
{"learn":[0.3532863919],"iteration":366,"passed_time":12.21208277,"remaining_time":4.525458466},
|
||||
{"learn":[0.3530482061],"iteration":367,"passed_time":12.25323112,"remaining_time":4.495071197},
|
||||
{"learn":[0.3527832319],"iteration":368,"passed_time":12.29229165,"remaining_time":4.463867427},
|
||||
{"learn":[0.3523557702],"iteration":369,"passed_time":12.33119451,"remaining_time":4.432564514},
|
||||
{"learn":[0.3520474851],"iteration":370,"passed_time":12.36746114,"remaining_time":4.400282669},
|
||||
{"learn":[0.3517667111],"iteration":371,"passed_time":12.40424203,"remaining_time":4.368160499},
|
||||
{"learn":[0.3514885766],"iteration":372,"passed_time":12.44016999,"remaining_time":4.335716082},
|
||||
{"learn":[0.3510260666],"iteration":373,"passed_time":12.47683537,"remaining_time":4.303507388},
|
||||
{"learn":[0.3508656042],"iteration":374,"passed_time":12.51175523,"remaining_time":4.270679119},
|
||||
{"learn":[0.3503894022],"iteration":375,"passed_time":12.54580938,"remaining_time":4.237547317},
|
||||
{"learn":[0.3501877125],"iteration":376,"passed_time":12.5849426,"remaining_time":4.206108138},
|
||||
{"learn":[0.3500090738],"iteration":377,"passed_time":12.62688104,"remaining_time":4.175555898},
|
||||
{"learn":[0.3492648976],"iteration":378,"passed_time":12.6846234,"remaining_time":4.150114254},
|
||||
{"learn":[0.3484510064],"iteration":379,"passed_time":12.73305691,"remaining_time":4.121489472},
|
||||
{"learn":[0.3477120966],"iteration":380,"passed_time":12.76967639,"remaining_time":4.088977741},
|
||||
{"learn":[0.346528848],"iteration":381,"passed_time":12.80449033,"remaining_time":4.05587259},
|
||||
{"learn":[0.3455273232],"iteration":382,"passed_time":12.84962919,"remaining_time":4.02599348},
|
||||
{"learn":[0.3446446609],"iteration":383,"passed_time":12.88594068,"remaining_time":3.993299324},
|
||||
{"learn":[0.3446445088],"iteration":384,"passed_time":12.92077531,"remaining_time":3.960133732},
|
||||
{"learn":[0.344624325],"iteration":385,"passed_time":12.95382996,"remaining_time":3.926419961},
|
||||
{"learn":[0.3443450041],"iteration":386,"passed_time":12.98720429,"remaining_time":3.892805419},
|
||||
{"learn":[0.3441690654],"iteration":387,"passed_time":13.02336256,"remaining_time":3.860017253},
|
||||
{"learn":[0.3439762582],"iteration":388,"passed_time":13.05772731,"remaining_time":3.826686153},
|
||||
{"learn":[0.343144681],"iteration":389,"passed_time":13.09399333,"remaining_time":3.793900631},
|
||||
{"learn":[0.3431165836],"iteration":390,"passed_time":13.12678542,"remaining_time":3.760102217},
|
||||
{"learn":[0.3425396086],"iteration":391,"passed_time":13.15917205,"remaining_time":3.726194126},
|
||||
{"learn":[0.3419343963],"iteration":392,"passed_time":13.19470271,"remaining_time":3.693173786},
|
||||
{"learn":[0.3418945703],"iteration":393,"passed_time":13.22765119,"remaining_time":3.659426344},
|
||||
{"learn":[0.3416727501],"iteration":394,"passed_time":13.25937594,"remaining_time":3.625348357},
|
||||
{"learn":[0.3410420178],"iteration":395,"passed_time":13.29134942,"remaining_time":3.591349464},
|
||||
{"learn":[0.3410114398],"iteration":396,"passed_time":13.32277395,"remaining_time":3.557214203},
|
||||
{"learn":[0.3408439464],"iteration":397,"passed_time":13.35566285,"remaining_time":3.523478892},
|
||||
{"learn":[0.3405817553],"iteration":398,"passed_time":13.38832234,"remaining_time":3.489688029},
|
||||
{"learn":[0.3405125933],"iteration":399,"passed_time":13.41957431,"remaining_time":3.455540386},
|
||||
{"learn":[0.3400937693],"iteration":400,"passed_time":13.45192917,"remaining_time":3.421687719},
|
||||
{"learn":[0.3399329379],"iteration":401,"passed_time":13.4856368,"remaining_time":3.38818238},
|
||||
{"learn":[0.3396555061],"iteration":402,"passed_time":13.51848611,"remaining_time":3.354463055},
|
||||
{"learn":[0.3395398187],"iteration":403,"passed_time":13.55204189,"remaining_time":3.320921156},
|
||||
{"learn":[0.3390811131],"iteration":404,"passed_time":13.58509415,"remaining_time":3.28725735},
|
||||
{"learn":[0.3386411018],"iteration":405,"passed_time":13.6172091,"remaining_time":3.253372618},
|
||||
{"learn":[0.3385404276],"iteration":406,"passed_time":13.64774223,"remaining_time":3.219123474},
|
||||
{"learn":[0.3383773618],"iteration":407,"passed_time":13.68000671,"remaining_time":3.18529568},
|
||||
{"learn":[0.3375710977],"iteration":408,"passed_time":13.71191143,"remaining_time":3.151392846},
|
||||
{"learn":[0.3368766863],"iteration":409,"passed_time":13.74187166,"remaining_time":3.117058694},
|
||||
{"learn":[0.3366522512],"iteration":410,"passed_time":13.77415154,"remaining_time":3.083265064},
|
||||
{"learn":[0.336550759],"iteration":411,"passed_time":13.80561618,"remaining_time":3.04929872},
|
||||
{"learn":[0.3358699965],"iteration":412,"passed_time":13.83501574,"remaining_time":3.014894471},
|
||||
{"learn":[0.3357507789],"iteration":413,"passed_time":13.86357983,"remaining_time":2.980334793},
|
||||
{"learn":[0.3357080228],"iteration":414,"passed_time":13.89436812,"remaining_time":2.94627565},
|
||||
{"learn":[0.3351767876],"iteration":415,"passed_time":13.92393782,"remaining_time":2.911977381},
|
||||
{"learn":[0.3351006028],"iteration":416,"passed_time":13.95042759,"remaining_time":2.8770666},
|
||||
{"learn":[0.335059785],"iteration":417,"passed_time":13.97799744,"remaining_time":2.842415746},
|
||||
{"learn":[0.334877674],"iteration":418,"passed_time":14.00445689,"remaining_time":2.807576084},
|
||||
{"learn":[0.333892139],"iteration":419,"passed_time":14.03140628,"remaining_time":2.772873145},
|
||||
{"learn":[0.3335632457],"iteration":420,"passed_time":14.05734025,"remaining_time":2.738009264},
|
||||
{"learn":[0.3335490573],"iteration":421,"passed_time":14.08257615,"remaining_time":2.703053716},
|
||||
{"learn":[0.3328069386],"iteration":422,"passed_time":14.10871442,"remaining_time":2.668314785},
|
||||
{"learn":[0.3326631821],"iteration":423,"passed_time":14.1348921,"remaining_time":2.633623763},
|
||||
{"learn":[0.3319821962],"iteration":424,"passed_time":14.16096694,"remaining_time":2.598953932},
|
||||
{"learn":[0.3319793233],"iteration":425,"passed_time":14.18452615,"remaining_time":2.563869751},
|
||||
{"learn":[0.3317315424],"iteration":426,"passed_time":14.21088447,"remaining_time":2.529337751},
|
||||
{"learn":[0.3309119809],"iteration":427,"passed_time":14.23663571,"remaining_time":2.494737565},
|
||||
{"learn":[0.3306917873],"iteration":428,"passed_time":14.26634643,"remaining_time":2.460861621},
|
||||
{"learn":[0.3302266352],"iteration":429,"passed_time":14.29581855,"remaining_time":2.426964544},
|
||||
{"learn":[0.3301374977],"iteration":430,"passed_time":14.3344635,"remaining_time":2.394620353},
|
||||
{"learn":[0.3300227814],"iteration":431,"passed_time":14.37427461,"remaining_time":2.362438651},
|
||||
{"learn":[0.3300201971],"iteration":432,"passed_time":14.40367199,"remaining_time":2.328538197},
|
||||
{"learn":[0.3298145468],"iteration":433,"passed_time":14.43137694,"remaining_time":2.294389421},
|
||||
{"learn":[0.3297776372],"iteration":434,"passed_time":14.46814486,"remaining_time":2.261687013},
|
||||
{"learn":[0.3293209385],"iteration":435,"passed_time":14.49734706,"remaining_time":2.227803332},
|
||||
{"learn":[0.3286767751],"iteration":436,"passed_time":14.52875293,"remaining_time":2.194273898},
|
||||
{"learn":[0.3279549713],"iteration":437,"passed_time":14.55671903,"remaining_time":2.160243691},
|
||||
{"learn":[0.3279466918],"iteration":438,"passed_time":14.58859962,"remaining_time":2.12681179},
|
||||
{"learn":[0.3278344606],"iteration":439,"passed_time":14.61806024,"remaining_time":2.093040443},
|
||||
{"learn":[0.3277051888],"iteration":440,"passed_time":14.6463147,"remaining_time":2.059119074},
|
||||
{"learn":[0.3275895486],"iteration":441,"passed_time":14.67471823,"remaining_time":2.025243919},
|
||||
{"learn":[0.326803713],"iteration":442,"passed_time":14.70702935,"remaining_time":1.991922711},
|
||||
{"learn":[0.326363965],"iteration":443,"passed_time":14.74113867,"remaining_time":1.958845004},
|
||||
{"learn":[0.3257988714],"iteration":444,"passed_time":14.77136343,"remaining_time":1.925256358},
|
||||
{"learn":[0.3255620575],"iteration":445,"passed_time":14.80150054,"remaining_time":1.891671594},
|
||||
{"learn":[0.3253664503],"iteration":446,"passed_time":14.83223681,"remaining_time":1.858177318},
|
||||
{"learn":[0.3248833326],"iteration":447,"passed_time":14.86239946,"remaining_time":1.824624933},
|
||||
{"learn":[0.324858778],"iteration":448,"passed_time":14.89153691,"remaining_time":1.790964349},
|
||||
{"learn":[0.3246800577],"iteration":449,"passed_time":14.92255493,"remaining_time":1.757545358},
|
||||
{"learn":[0.3246786406],"iteration":450,"passed_time":14.96062194,"remaining_time":1.724949758},
|
||||
{"learn":[0.3244680787],"iteration":451,"passed_time":14.99839874,"remaining_time":1.692297203},
|
||||
{"learn":[0.3243385694],"iteration":452,"passed_time":15.03740481,"remaining_time":1.659757705},
|
||||
{"learn":[0.3240310231],"iteration":453,"passed_time":15.10460611,"remaining_time":1.630232818},
|
||||
{"learn":[0.3239253236],"iteration":454,"passed_time":15.1589151,"remaining_time":1.599182253},
|
||||
{"learn":[0.3230211943],"iteration":455,"passed_time":15.19610042,"remaining_time":1.566264736},
|
||||
{"learn":[0.3225396909],"iteration":456,"passed_time":15.22821106,"remaining_time":1.532817743},
|
||||
{"learn":[0.3222628288],"iteration":457,"passed_time":15.26037867,"remaining_time":1.499382184},
|
||||
{"learn":[0.3219055219],"iteration":458,"passed_time":15.29260964,"remaining_time":1.465958223},
|
||||
{"learn":[0.3217021665],"iteration":459,"passed_time":15.32626487,"remaining_time":1.432672586},
|
||||
{"learn":[0.3214838995],"iteration":460,"passed_time":15.3569631,"remaining_time":1.399115944},
|
||||
{"learn":[0.3211571078],"iteration":461,"passed_time":15.38807558,"remaining_time":1.365608439},
|
||||
{"learn":[0.3205851685],"iteration":462,"passed_time":15.41844516,"remaining_time":1.332047098},
|
||||
{"learn":[0.3200808013],"iteration":463,"passed_time":15.44991361,"remaining_time":1.298591877},
|
||||
{"learn":[0.3200221953],"iteration":464,"passed_time":15.48351299,"remaining_time":1.265319341},
|
||||
{"learn":[0.3189763991],"iteration":465,"passed_time":15.51448951,"remaining_time":1.23183715},
|
||||
{"learn":[0.3181254229],"iteration":466,"passed_time":15.54611209,"remaining_time":1.198415493},
|
||||
{"learn":[0.3176546505],"iteration":467,"passed_time":15.57786779,"remaining_time":1.16501148},
|
||||
{"learn":[0.3175456017],"iteration":468,"passed_time":15.60974167,"remaining_time":1.131623064},
|
||||
{"learn":[0.3174275883],"iteration":469,"passed_time":15.64015033,"remaining_time":1.098138214},
|
||||
{"learn":[0.3172371598],"iteration":470,"passed_time":15.6697227,"remaining_time":1.06460961},
|
||||
{"learn":[0.317084336],"iteration":471,"passed_time":15.70478446,"remaining_time":1.031458302},
|
||||
{"learn":[0.3168856882],"iteration":472,"passed_time":15.74719306,"remaining_time":0.9987648873},
|
||||
{"learn":[0.3168590458],"iteration":473,"passed_time":15.78607642,"remaining_time":0.965814802},
|
||||
{"learn":[0.3160504069],"iteration":474,"passed_time":15.82409027,"remaining_time":0.9327884788},
|
||||
{"learn":[0.3151517819],"iteration":475,"passed_time":15.86125093,"remaining_time":0.8996928047},
|
||||
{"learn":[0.3150532747],"iteration":476,"passed_time":15.89910998,"remaining_time":0.8666181539},
|
||||
{"learn":[0.3147600905],"iteration":477,"passed_time":15.93814433,"remaining_time":0.8335849543},
|
||||
{"learn":[0.3143447749],"iteration":478,"passed_time":15.97840891,"remaining_time":0.8005883377},
|
||||
{"learn":[0.313857101],"iteration":479,"passed_time":16.01424692,"remaining_time":0.7673493317},
|
||||
{"learn":[0.3133964347],"iteration":480,"passed_time":16.05079181,"remaining_time":0.73413185},
|
||||
{"learn":[0.3133468332],"iteration":481,"passed_time":16.08908112,"remaining_time":0.7009765633},
|
||||
{"learn":[0.3130208738],"iteration":482,"passed_time":16.12404498,"remaining_time":0.6676623182},
|
||||
{"learn":[0.3123844646],"iteration":483,"passed_time":16.15915565,"remaining_time":0.6343470195},
|
||||
{"learn":[0.3123057028],"iteration":484,"passed_time":16.19427103,"remaining_time":0.6010244917},
|
||||
{"learn":[0.3122696778],"iteration":485,"passed_time":16.2300842,"remaining_time":0.5677189946},
|
||||
{"learn":[0.3115372663],"iteration":486,"passed_time":16.26859597,"remaining_time":0.5344918595},
|
||||
{"learn":[0.3115222445],"iteration":487,"passed_time":16.30511814,"remaining_time":0.5011819101},
|
||||
{"learn":[0.3110169616],"iteration":488,"passed_time":16.3402227,"remaining_time":0.467818237},
|
||||
{"learn":[0.3107801494],"iteration":489,"passed_time":16.37799468,"remaining_time":0.4345182263},
|
||||
{"learn":[0.3107347524],"iteration":490,"passed_time":16.41251242,"remaining_time":0.4011204665},
|
||||
{"learn":[0.3104754673],"iteration":491,"passed_time":16.44701906,"remaining_time":0.3677179058},
|
||||
{"learn":[0.3104069733],"iteration":492,"passed_time":16.4839949,"remaining_time":0.3343609514},
|
||||
{"learn":[0.3103290088],"iteration":493,"passed_time":16.52918799,"remaining_time":0.3011390524},
|
||||
{"learn":[0.3098329613],"iteration":494,"passed_time":16.57731275,"remaining_time":0.2679161656},
|
||||
{"learn":[0.3090733129],"iteration":495,"passed_time":16.61281743,"remaining_time":0.2344550848},
|
||||
{"learn":[0.3083610739],"iteration":496,"passed_time":16.64887769,"remaining_time":0.2009924873},
|
||||
{"learn":[0.30816082],"iteration":497,"passed_time":16.68937379,"remaining_time":0.1675639938},
|
||||
{"learn":[0.3076008094],"iteration":498,"passed_time":16.72553509,"remaining_time":0.1340724256},
|
||||
{"learn":[0.307312358],"iteration":499,"passed_time":16.76040741,"remaining_time":0.1005624445},
|
||||
{"learn":[0.3067583984],"iteration":500,"passed_time":16.79341703,"remaining_time":0.06703958894},
|
||||
{"learn":[0.3062308076],"iteration":501,"passed_time":16.82632334,"remaining_time":0.03351857239},
|
||||
{"learn":[0.3059783974],"iteration":502,"passed_time":16.85958747,"remaining_time":0}
|
||||
]}
|
BIN
notebook/catboost_info/learn/events.out.tfevents
Normal file
BIN
notebook/catboost_info/learn/events.out.tfevents
Normal file
Binary file not shown.
504
notebook/catboost_info/learn_error.tsv
Normal file
504
notebook/catboost_info/learn_error.tsv
Normal file
@ -0,0 +1,504 @@
|
||||
iter RMSE
|
||||
0 13.58808486
|
||||
1 12.62483223
|
||||
2 11.87960578
|
||||
3 11.01202277
|
||||
4 10.24267735
|
||||
5 9.467276747
|
||||
6 8.836266406
|
||||
7 8.326046733
|
||||
8 7.699500054
|
||||
9 7.162245325
|
||||
10 6.634236654
|
||||
11 6.226534161
|
||||
12 5.925392597
|
||||
13 5.505306039
|
||||
14 5.281901805
|
||||
15 4.96460665
|
||||
16 4.646961549
|
||||
17 4.32976997
|
||||
18 4.1094694
|
||||
19 3.834591208
|
||||
20 3.58965108
|
||||
21 3.450988126
|
||||
22 3.270843636
|
||||
23 3.138291781
|
||||
24 2.988050539
|
||||
25 2.910438669
|
||||
26 2.811270012
|
||||
27 2.700498133
|
||||
28 2.597133725
|
||||
29 2.511189922
|
||||
30 2.401120456
|
||||
31 2.300900425
|
||||
32 2.209069421
|
||||
33 2.129311046
|
||||
34 2.069363841
|
||||
35 1.985829305
|
||||
36 1.911280855
|
||||
37 1.894515034
|
||||
38 1.838204222
|
||||
39 1.785170681
|
||||
40 1.753675201
|
||||
41 1.722030076
|
||||
42 1.67876843
|
||||
43 1.635079647
|
||||
44 1.609427669
|
||||
45 1.583104609
|
||||
46 1.561084152
|
||||
47 1.544661982
|
||||
48 1.530253458
|
||||
49 1.487070936
|
||||
50 1.468509458
|
||||
51 1.445780775
|
||||
52 1.419436702
|
||||
53 1.4031835
|
||||
54 1.381988161
|
||||
55 1.366214971
|
||||
56 1.339571223
|
||||
57 1.335983582
|
||||
58 1.322972843
|
||||
59 1.312056185
|
||||
60 1.298794996
|
||||
61 1.296696703
|
||||
62 1.280953208
|
||||
63 1.249517326
|
||||
64 1.243758843
|
||||
65 1.227270444
|
||||
66 1.221913871
|
||||
67 1.211554868
|
||||
68 1.193791145
|
||||
69 1.176309999
|
||||
70 1.174147845
|
||||
71 1.172532833
|
||||
72 1.159681802
|
||||
73 1.133306101
|
||||
74 1.131125145
|
||||
75 1.124145123
|
||||
76 1.117783438
|
||||
77 1.098780101
|
||||
78 1.090352071
|
||||
79 1.080510671
|
||||
80 1.055927489
|
||||
81 1.047317785
|
||||
82 1.020559186
|
||||
83 1.003359299
|
||||
84 0.9950193282
|
||||
85 0.9746072291
|
||||
86 0.9687993118
|
||||
87 0.9489509266
|
||||
88 0.9442011043
|
||||
89 0.9398444894
|
||||
90 0.9370515146
|
||||
91 0.9332178849
|
||||
92 0.9282521398
|
||||
93 0.9217443
|
||||
94 0.9115363529
|
||||
95 0.9104000641
|
||||
96 0.9001327933
|
||||
97 0.8980751773
|
||||
98 0.8805792328
|
||||
99 0.8776013304
|
||||
100 0.8689851882
|
||||
101 0.8658509989
|
||||
102 0.8637627211
|
||||
103 0.8484368731
|
||||
104 0.8474248221
|
||||
105 0.8426691853
|
||||
106 0.8386346964
|
||||
107 0.828156733
|
||||
108 0.8151322579
|
||||
109 0.8028484747
|
||||
110 0.8002146222
|
||||
111 0.7967169569
|
||||
112 0.7887194594
|
||||
113 0.7859952808
|
||||
114 0.7683267416
|
||||
115 0.7612673592
|
||||
116 0.7470680063
|
||||
117 0.7440705985
|
||||
118 0.7329359942
|
||||
119 0.731214222
|
||||
120 0.7235059755
|
||||
121 0.7180252256
|
||||
122 0.711303956
|
||||
123 0.7068539492
|
||||
124 0.7028971453
|
||||
125 0.6994256689
|
||||
126 0.6916014901
|
||||
127 0.688880964
|
||||
128 0.6815975729
|
||||
129 0.6806228975
|
||||
130 0.6767720669
|
||||
131 0.6720286893
|
||||
132 0.6648085456
|
||||
133 0.6580857251
|
||||
134 0.6534814215
|
||||
135 0.6488846656
|
||||
136 0.6462204842
|
||||
137 0.6405271727
|
||||
138 0.6344025537
|
||||
139 0.6263288023
|
||||
140 0.6206817793
|
||||
141 0.6174178304
|
||||
142 0.6137299779
|
||||
143 0.6099397343
|
||||
144 0.607903817
|
||||
145 0.6003292151
|
||||
146 0.5931800265
|
||||
147 0.5905489975
|
||||
148 0.5873460873
|
||||
149 0.5849497365
|
||||
150 0.5826164565
|
||||
151 0.5783740986
|
||||
152 0.5735266304
|
||||
153 0.5709951355
|
||||
154 0.5673019496
|
||||
155 0.5648214969
|
||||
156 0.5623393232
|
||||
157 0.559730852
|
||||
158 0.5569077712
|
||||
159 0.5557318946
|
||||
160 0.5516971265
|
||||
161 0.5468841888
|
||||
162 0.5454300573
|
||||
163 0.5412918096
|
||||
164 0.5386432559
|
||||
165 0.5364083166
|
||||
166 0.5319892608
|
||||
167 0.5295244769
|
||||
168 0.5280213327
|
||||
169 0.5263065175
|
||||
170 0.5252276381
|
||||
171 0.5239500987
|
||||
172 0.522215478
|
||||
173 0.5185456394
|
||||
174 0.5151447764
|
||||
175 0.5123790565
|
||||
176 0.5105161478
|
||||
177 0.5079036758
|
||||
178 0.5050291032
|
||||
179 0.5043777207
|
||||
180 0.5013010667
|
||||
181 0.4984627705
|
||||
182 0.4968632745
|
||||
183 0.4940402214
|
||||
184 0.4928892254
|
||||
185 0.4907074494
|
||||
186 0.4876962696
|
||||
187 0.4849914547
|
||||
188 0.4844945497
|
||||
189 0.4835907636
|
||||
190 0.4817217575
|
||||
191 0.4806926045
|
||||
192 0.4781820036
|
||||
193 0.4762474883
|
||||
194 0.4744650541
|
||||
195 0.4726753707
|
||||
196 0.4707991554
|
||||
197 0.4687009792
|
||||
198 0.4686748537
|
||||
199 0.468649655
|
||||
200 0.4678309108
|
||||
201 0.4664369881
|
||||
202 0.4642083806
|
||||
203 0.4627366442
|
||||
204 0.462426993
|
||||
205 0.4604194306
|
||||
206 0.4603836971
|
||||
207 0.4584066347
|
||||
208 0.4565947727
|
||||
209 0.454641595
|
||||
210 0.4525193871
|
||||
211 0.4515078063
|
||||
212 0.4507703892
|
||||
213 0.4489555654
|
||||
214 0.4481694343
|
||||
215 0.44764777
|
||||
216 0.4472988696
|
||||
217 0.4466756899
|
||||
218 0.4463571454
|
||||
219 0.4449564513
|
||||
220 0.4433930265
|
||||
221 0.4420229053
|
||||
222 0.4408451324
|
||||
223 0.4399067036
|
||||
224 0.4392330829
|
||||
225 0.438938476
|
||||
226 0.436577457
|
||||
227 0.4365593699
|
||||
228 0.4365254657
|
||||
229 0.4364881079
|
||||
230 0.4360124705
|
||||
231 0.4356380031
|
||||
232 0.4335143285
|
||||
233 0.4331101892
|
||||
234 0.430970219
|
||||
235 0.4291763864
|
||||
236 0.4284081813
|
||||
237 0.4277548346
|
||||
238 0.4276024846
|
||||
239 0.4272588452
|
||||
240 0.4267288839
|
||||
241 0.4263036549
|
||||
242 0.425311483
|
||||
243 0.4248590533
|
||||
244 0.4247925141
|
||||
245 0.4235822308
|
||||
246 0.423381816
|
||||
247 0.422406524
|
||||
248 0.4221061701
|
||||
249 0.4216216148
|
||||
250 0.4209266672
|
||||
251 0.4207103968
|
||||
252 0.4200544886
|
||||
253 0.4188705018
|
||||
254 0.4188679978
|
||||
255 0.4180786362
|
||||
256 0.4175746323
|
||||
257 0.4175379476
|
||||
258 0.4162431524
|
||||
259 0.414917431
|
||||
260 0.4136165046
|
||||
261 0.4125298369
|
||||
262 0.4116519923
|
||||
263 0.4116088618
|
||||
264 0.4099374536
|
||||
265 0.4093114873
|
||||
266 0.4077541623
|
||||
267 0.4071381409
|
||||
268 0.4064735012
|
||||
269 0.4064638784
|
||||
270 0.404827975
|
||||
271 0.4046356577
|
||||
272 0.40398481
|
||||
273 0.403390502
|
||||
274 0.4010124929
|
||||
275 0.4006799881
|
||||
276 0.4003926611
|
||||
277 0.4003693829
|
||||
278 0.3995497889
|
||||
279 0.3979759218
|
||||
280 0.3979319483
|
||||
281 0.3968748134
|
||||
282 0.3968584858
|
||||
283 0.395215138
|
||||
284 0.3946613442
|
||||
285 0.3935966052
|
||||
286 0.3930598637
|
||||
287 0.3917066514
|
||||
288 0.3913164683
|
||||
289 0.390912542
|
||||
290 0.3904180604
|
||||
291 0.3904014674
|
||||
292 0.3895520859
|
||||
293 0.3885736358
|
||||
294 0.388147543
|
||||
295 0.3878462694
|
||||
296 0.3875113131
|
||||
297 0.3870290096
|
||||
298 0.3865674143
|
||||
299 0.3858039114
|
||||
300 0.3858017702
|
||||
301 0.3857553577
|
||||
302 0.3846671317
|
||||
303 0.3843946786
|
||||
304 0.3835134942
|
||||
305 0.3823072693
|
||||
306 0.3820568223
|
||||
307 0.3817080346
|
||||
308 0.3816959291
|
||||
309 0.3816845889
|
||||
310 0.3814545126
|
||||
311 0.3808179988
|
||||
312 0.3803765403
|
||||
313 0.3800856614
|
||||
314 0.3797233376
|
||||
315 0.3795761939
|
||||
316 0.3787129895
|
||||
317 0.3771809616
|
||||
318 0.3767438289
|
||||
319 0.3753641143
|
||||
320 0.3748287029
|
||||
321 0.3741987104
|
||||
322 0.3741930567
|
||||
323 0.3733901372
|
||||
324 0.3724050344
|
||||
325 0.3711094125
|
||||
326 0.3710921975
|
||||
327 0.370750936
|
||||
328 0.3707297971
|
||||
329 0.3702612607
|
||||
330 0.370010945
|
||||
331 0.3697202228
|
||||
332 0.3695156463
|
||||
333 0.3691364976
|
||||
334 0.3691274375
|
||||
335 0.3691086164
|
||||
336 0.3688088453
|
||||
337 0.3685305322
|
||||
338 0.3678253374
|
||||
339 0.3672351251
|
||||
340 0.3654965022
|
||||
341 0.3645040698
|
||||
342 0.3645009295
|
||||
343 0.3644654369
|
||||
344 0.3644610266
|
||||
345 0.3644301138
|
||||
346 0.3635231348
|
||||
347 0.3628281753
|
||||
348 0.3619989696
|
||||
349 0.3619869247
|
||||
350 0.3618156112
|
||||
351 0.3615283087
|
||||
352 0.3612599472
|
||||
353 0.3609652811
|
||||
354 0.3600041386
|
||||
355 0.3597549318
|
||||
356 0.3596048876
|
||||
357 0.3579628353
|
||||
358 0.3577226659
|
||||
359 0.3563112921
|
||||
360 0.3554446748
|
||||
361 0.3548056563
|
||||
362 0.3545563741
|
||||
363 0.3545071423
|
||||
364 0.3535092298
|
||||
365 0.3535024318
|
||||
366 0.3532863919
|
||||
367 0.3530482061
|
||||
368 0.3527832319
|
||||
369 0.3523557702
|
||||
370 0.3520474851
|
||||
371 0.3517667111
|
||||
372 0.3514885766
|
||||
373 0.3510260666
|
||||
374 0.3508656042
|
||||
375 0.3503894022
|
||||
376 0.3501877125
|
||||
377 0.3500090738
|
||||
378 0.3492648976
|
||||
379 0.3484510064
|
||||
380 0.3477120966
|
||||
381 0.346528848
|
||||
382 0.3455273232
|
||||
383 0.3446446609
|
||||
384 0.3446445088
|
||||
385 0.344624325
|
||||
386 0.3443450041
|
||||
387 0.3441690654
|
||||
388 0.3439762582
|
||||
389 0.343144681
|
||||
390 0.3431165836
|
||||
391 0.3425396086
|
||||
392 0.3419343963
|
||||
393 0.3418945703
|
||||
394 0.3416727501
|
||||
395 0.3410420178
|
||||
396 0.3410114398
|
||||
397 0.3408439464
|
||||
398 0.3405817553
|
||||
399 0.3405125933
|
||||
400 0.3400937693
|
||||
401 0.3399329379
|
||||
402 0.3396555061
|
||||
403 0.3395398187
|
||||
404 0.3390811131
|
||||
405 0.3386411018
|
||||
406 0.3385404276
|
||||
407 0.3383773618
|
||||
408 0.3375710977
|
||||
409 0.3368766863
|
||||
410 0.3366522512
|
||||
411 0.336550759
|
||||
412 0.3358699965
|
||||
413 0.3357507789
|
||||
414 0.3357080228
|
||||
415 0.3351767876
|
||||
416 0.3351006028
|
||||
417 0.335059785
|
||||
418 0.334877674
|
||||
419 0.333892139
|
||||
420 0.3335632457
|
||||
421 0.3335490573
|
||||
422 0.3328069386
|
||||
423 0.3326631821
|
||||
424 0.3319821962
|
||||
425 0.3319793233
|
||||
426 0.3317315424
|
||||
427 0.3309119809
|
||||
428 0.3306917873
|
||||
429 0.3302266352
|
||||
430 0.3301374977
|
||||
431 0.3300227814
|
||||
432 0.3300201971
|
||||
433 0.3298145468
|
||||
434 0.3297776372
|
||||
435 0.3293209385
|
||||
436 0.3286767751
|
||||
437 0.3279549713
|
||||
438 0.3279466918
|
||||
439 0.3278344606
|
||||
440 0.3277051888
|
||||
441 0.3275895486
|
||||
442 0.326803713
|
||||
443 0.326363965
|
||||
444 0.3257988714
|
||||
445 0.3255620575
|
||||
446 0.3253664503
|
||||
447 0.3248833326
|
||||
448 0.324858778
|
||||
449 0.3246800577
|
||||
450 0.3246786406
|
||||
451 0.3244680787
|
||||
452 0.3243385694
|
||||
453 0.3240310231
|
||||
454 0.3239253236
|
||||
455 0.3230211943
|
||||
456 0.3225396909
|
||||
457 0.3222628288
|
||||
458 0.3219055219
|
||||
459 0.3217021665
|
||||
460 0.3214838995
|
||||
461 0.3211571078
|
||||
462 0.3205851685
|
||||
463 0.3200808013
|
||||
464 0.3200221953
|
||||
465 0.3189763991
|
||||
466 0.3181254229
|
||||
467 0.3176546505
|
||||
468 0.3175456017
|
||||
469 0.3174275883
|
||||
470 0.3172371598
|
||||
471 0.317084336
|
||||
472 0.3168856882
|
||||
473 0.3168590458
|
||||
474 0.3160504069
|
||||
475 0.3151517819
|
||||
476 0.3150532747
|
||||
477 0.3147600905
|
||||
478 0.3143447749
|
||||
479 0.313857101
|
||||
480 0.3133964347
|
||||
481 0.3133468332
|
||||
482 0.3130208738
|
||||
483 0.3123844646
|
||||
484 0.3123057028
|
||||
485 0.3122696778
|
||||
486 0.3115372663
|
||||
487 0.3115222445
|
||||
488 0.3110169616
|
||||
489 0.3107801494
|
||||
490 0.3107347524
|
||||
491 0.3104754673
|
||||
492 0.3104069733
|
||||
493 0.3103290088
|
||||
494 0.3098329613
|
||||
495 0.3090733129
|
||||
496 0.3083610739
|
||||
497 0.30816082
|
||||
498 0.3076008094
|
||||
499 0.307312358
|
||||
500 0.3067583984
|
||||
501 0.3062308076
|
||||
502 0.3059783974
|
|
BIN
notebook/catboost_info/test/events.out.tfevents
Normal file
BIN
notebook/catboost_info/test/events.out.tfevents
Normal file
Binary file not shown.
504
notebook/catboost_info/test_error.tsv
Normal file
504
notebook/catboost_info/test_error.tsv
Normal file
@ -0,0 +1,504 @@
|
||||
iter RMSE
|
||||
0 21.5261995
|
||||
1 20.06499534
|
||||
2 18.63753152
|
||||
3 17.25077535
|
||||
4 16.08098645
|
||||
5 15.32143623
|
||||
6 14.62243848
|
||||
7 13.9359882
|
||||
8 13.02306464
|
||||
9 12.14731641
|
||||
10 11.78130419
|
||||
11 10.9101119
|
||||
12 10.18333378
|
||||
13 9.68060184
|
||||
14 9.390656391
|
||||
15 8.770066041
|
||||
16 8.330302018
|
||||
17 8.020429427
|
||||
18 7.743997431
|
||||
19 7.295843263
|
||||
20 6.897093769
|
||||
21 6.509593762
|
||||
22 6.314763929
|
||||
23 5.947162874
|
||||
24 5.639212069
|
||||
25 5.365624828
|
||||
26 5.140718925
|
||||
27 4.919676922
|
||||
28 4.722395214
|
||||
29 4.491366362
|
||||
30 4.310338356
|
||||
31 4.118490049
|
||||
32 3.964234775
|
||||
33 3.846185156
|
||||
34 3.763515134
|
||||
35 3.597185329
|
||||
36 3.489823648
|
||||
37 3.38785753
|
||||
38 3.36814006
|
||||
39 3.297736307
|
||||
40 3.169878647
|
||||
41 3.11586723
|
||||
42 3.007502869
|
||||
43 2.949831941
|
||||
44 2.9101797
|
||||
45 2.871667312
|
||||
46 2.829581211
|
||||
47 2.74953091
|
||||
48 2.676016661
|
||||
49 2.615325143
|
||||
50 2.607938616
|
||||
51 2.584820148
|
||||
52 2.565760544
|
||||
53 2.557087868
|
||||
54 2.527172348
|
||||
55 2.512061883
|
||||
56 2.49412679
|
||||
57 2.490508627
|
||||
58 2.441443872
|
||||
59 2.424949588
|
||||
60 2.398479781
|
||||
61 2.388771764
|
||||
62 2.374596584
|
||||
63 2.364077224
|
||||
64 2.339945641
|
||||
65 2.316088478
|
||||
66 2.317898012
|
||||
67 2.312381111
|
||||
68 2.309495326
|
||||
69 2.290687386
|
||||
70 2.273707987
|
||||
71 2.269508594
|
||||
72 2.263025913
|
||||
73 2.251764845
|
||||
74 2.23783075
|
||||
75 2.177028229
|
||||
76 2.175045481
|
||||
77 2.171806188
|
||||
78 2.168661166
|
||||
79 2.16427116
|
||||
80 2.160264046
|
||||
81 2.12960503
|
||||
82 2.114152373
|
||||
83 2.102971314
|
||||
84 2.094570007
|
||||
85 2.085163847
|
||||
86 2.083033935
|
||||
87 2.08027107
|
||||
88 2.080454995
|
||||
89 2.043565453
|
||||
90 2.038091199
|
||||
91 2.03593609
|
||||
92 2.021346938
|
||||
93 2.015963113
|
||||
94 1.992427874
|
||||
95 1.989332559
|
||||
96 1.972201155
|
||||
97 1.959428556
|
||||
98 1.960560846
|
||||
99 1.94706647
|
||||
100 1.900880801
|
||||
101 1.8832891
|
||||
102 1.88132658
|
||||
103 1.87851986
|
||||
104 1.830534071
|
||||
105 1.817892737
|
||||
106 1.816272046
|
||||
107 1.768972503
|
||||
108 1.764173392
|
||||
109 1.743371293
|
||||
110 1.74025631
|
||||
111 1.73185268
|
||||
112 1.727539381
|
||||
113 1.726279249
|
||||
114 1.72657802
|
||||
115 1.686461662
|
||||
116 1.677439504
|
||||
117 1.667032236
|
||||
118 1.629213018
|
||||
119 1.601311492
|
||||
120 1.580998163
|
||||
121 1.579498456
|
||||
122 1.562711499
|
||||
123 1.539444885
|
||||
124 1.539693341
|
||||
125 1.521351601
|
||||
126 1.508220228
|
||||
127 1.502569494
|
||||
128 1.501149719
|
||||
129 1.493041028
|
||||
130 1.485294273
|
||||
131 1.474411817
|
||||
132 1.466613709
|
||||
133 1.460054265
|
||||
134 1.459251982
|
||||
135 1.444900733
|
||||
136 1.438880204
|
||||
137 1.399021634
|
||||
138 1.387210306
|
||||
139 1.384464012
|
||||
140 1.383450801
|
||||
141 1.354489575
|
||||
142 1.341025171
|
||||
143 1.336950235
|
||||
144 1.323965093
|
||||
145 1.3220113
|
||||
146 1.320141217
|
||||
147 1.282726523
|
||||
148 1.27300974
|
||||
149 1.272307093
|
||||
150 1.246671944
|
||||
151 1.239740446
|
||||
152 1.215877102
|
||||
153 1.20609588
|
||||
154 1.200261649
|
||||
155 1.202506503
|
||||
156 1.20228445
|
||||
157 1.198718864
|
||||
158 1.194191004
|
||||
159 1.18625758
|
||||
160 1.182437138
|
||||
161 1.181199744
|
||||
162 1.177089186
|
||||
163 1.1720047
|
||||
164 1.17153794
|
||||
165 1.163473516
|
||||
166 1.151628143
|
||||
167 1.144397961
|
||||
168 1.12784685
|
||||
169 1.113101033
|
||||
170 1.109003365
|
||||
171 1.102163864
|
||||
172 1.100201006
|
||||
173 1.100195806
|
||||
174 1.097681974
|
||||
175 1.080696319
|
||||
176 1.078191128
|
||||
177 1.068107548
|
||||
178 1.05975053
|
||||
179 1.049974463
|
||||
180 1.050103849
|
||||
181 1.04119877
|
||||
182 1.040467453
|
||||
183 1.039174418
|
||||
184 1.039188284
|
||||
185 1.039196034
|
||||
186 1.032869214
|
||||
187 1.028032444
|
||||
188 1.028362923
|
||||
189 1.025464159
|
||||
190 1.009330117
|
||||
191 1.001721856
|
||||
192 1.00342615
|
||||
193 1.003372637
|
||||
194 0.9982616018
|
||||
195 0.9925217159
|
||||
196 0.9946617774
|
||||
197 0.9899798566
|
||||
198 0.9859205376
|
||||
199 0.9822794671
|
||||
200 0.9760661597
|
||||
201 0.9646421405
|
||||
202 0.9471411358
|
||||
203 0.9412097802
|
||||
204 0.9411883099
|
||||
205 0.9403357559
|
||||
206 0.9396921532
|
||||
207 0.9395514554
|
||||
208 0.9383356772
|
||||
209 0.9377566443
|
||||
210 0.9365230214
|
||||
211 0.9372918122
|
||||
212 0.9365285286
|
||||
213 0.9363929492
|
||||
214 0.9271035249
|
||||
215 0.9268057469
|
||||
216 0.924350886
|
||||
217 0.9178882432
|
||||
218 0.917860295
|
||||
219 0.9178747694
|
||||
220 0.9102074911
|
||||
221 0.9018881906
|
||||
222 0.9010942328
|
||||
223 0.8951664016
|
||||
224 0.8935962302
|
||||
225 0.8928190853
|
||||
226 0.8928148037
|
||||
227 0.8920729076
|
||||
228 0.8920561126
|
||||
229 0.8913776571
|
||||
230 0.889759633
|
||||
231 0.8891337973
|
||||
232 0.8890736131
|
||||
233 0.8891705259
|
||||
234 0.8891723694
|
||||
235 0.8869210549
|
||||
236 0.870122675
|
||||
237 0.8701221678
|
||||
238 0.8712738973
|
||||
239 0.8711839853
|
||||
240 0.8704907204
|
||||
241 0.869986986
|
||||
242 0.8699794564
|
||||
243 0.8695412119
|
||||
244 0.869553616
|
||||
245 0.8691595223
|
||||
246 0.8687216531
|
||||
247 0.8685156322
|
||||
248 0.8650015541
|
||||
249 0.862699109
|
||||
250 0.8629501217
|
||||
251 0.8629545662
|
||||
252 0.8624505362
|
||||
253 0.8636779586
|
||||
254 0.8642927899
|
||||
255 0.8615968653
|
||||
256 0.8584199545
|
||||
257 0.8583900271
|
||||
258 0.8551928276
|
||||
259 0.8514012834
|
||||
260 0.8515494177
|
||||
261 0.8459932265
|
||||
262 0.8459939295
|
||||
263 0.8460620148
|
||||
264 0.8430933776
|
||||
265 0.8382177753
|
||||
266 0.8382161698
|
||||
267 0.8376632206
|
||||
268 0.8376569232
|
||||
269 0.8381184617
|
||||
270 0.8381148448
|
||||
271 0.8380654201
|
||||
272 0.834170001
|
||||
273 0.8263625393
|
||||
274 0.8217052398
|
||||
275 0.8187777629
|
||||
276 0.8187822628
|
||||
277 0.8182975998
|
||||
278 0.8088934217
|
||||
279 0.8088964804
|
||||
280 0.8083210162
|
||||
281 0.8083254438
|
||||
282 0.7992539096
|
||||
283 0.7985070706
|
||||
284 0.8004105758
|
||||
285 0.797549176
|
||||
286 0.7986654339
|
||||
287 0.798256048
|
||||
288 0.7961741292
|
||||
289 0.7958883675
|
||||
290 0.7960849901
|
||||
291 0.7959549142
|
||||
292 0.7956319986
|
||||
293 0.7946107003
|
||||
294 0.7909572838
|
||||
295 0.7907703595
|
||||
296 0.7877831717
|
||||
297 0.7878250854
|
||||
298 0.7836335983
|
||||
299 0.7818812285
|
||||
300 0.7799926214
|
||||
301 0.7791267425
|
||||
302 0.7780936561
|
||||
303 0.778113331
|
||||
304 0.7777488193
|
||||
305 0.765213275
|
||||
306 0.7654243549
|
||||
307 0.7650838688
|
||||
308 0.7653280884
|
||||
309 0.7616075333
|
||||
310 0.7616067028
|
||||
311 0.76161607
|
||||
312 0.7606938711
|
||||
313 0.7603634459
|
||||
314 0.7612425641
|
||||
315 0.7612410316
|
||||
316 0.7611945832
|
||||
317 0.7611955036
|
||||
318 0.7611752093
|
||||
319 0.7563677883
|
||||
320 0.7563746382
|
||||
321 0.7552460519
|
||||
322 0.754248425
|
||||
323 0.7532867165
|
||||
324 0.7496754861
|
||||
325 0.7496776896
|
||||
326 0.7502245633
|
||||
327 0.7492331285
|
||||
328 0.7492323103
|
||||
329 0.7487763166
|
||||
330 0.7483659717
|
||||
331 0.7484858848
|
||||
332 0.7454309805
|
||||
333 0.7454354105
|
||||
334 0.7454275449
|
||||
335 0.745515443
|
||||
336 0.7422702809
|
||||
337 0.7422715932
|
||||
338 0.7326088945
|
||||
339 0.7300231192
|
||||
340 0.7307092601
|
||||
341 0.7307136434
|
||||
342 0.7280502106
|
||||
343 0.7274997443
|
||||
344 0.7271918357
|
||||
345 0.7268865586
|
||||
346 0.7187329978
|
||||
347 0.7190466618
|
||||
348 0.7190508159
|
||||
349 0.7187619642
|
||||
350 0.7188252648
|
||||
351 0.718363398
|
||||
352 0.7182993266
|
||||
353 0.7182968785
|
||||
354 0.7185304023
|
||||
355 0.7181022114
|
||||
356 0.7181046088
|
||||
357 0.7180961571
|
||||
358 0.7169013465
|
||||
359 0.716816642
|
||||
360 0.7167039551
|
||||
361 0.7136006577
|
||||
362 0.70717449
|
||||
363 0.7102151686
|
||||
364 0.7100639006
|
||||
365 0.7106320501
|
||||
366 0.7100924845
|
||||
367 0.7102046035
|
||||
368 0.6988062772
|
||||
369 0.6988056314
|
||||
370 0.6988032539
|
||||
371 0.6988036818
|
||||
372 0.698676109
|
||||
373 0.6986798989
|
||||
374 0.6986794623
|
||||
375 0.6980475659
|
||||
376 0.6960354759
|
||||
377 0.6883678669
|
||||
378 0.6857446873
|
||||
379 0.6854891846
|
||||
380 0.6850092296
|
||||
381 0.6824676347
|
||||
382 0.682349785
|
||||
383 0.6804288426
|
||||
384 0.6802306861
|
||||
385 0.678970417
|
||||
386 0.6787549877
|
||||
387 0.6788514474
|
||||
388 0.6789835145
|
||||
389 0.6791043874
|
||||
390 0.6786417777
|
||||
391 0.6782250643
|
||||
392 0.6782271413
|
||||
393 0.6782325606
|
||||
394 0.6782358667
|
||||
395 0.6777997757
|
||||
396 0.6773988169
|
||||
397 0.6772261455
|
||||
398 0.6759971767
|
||||
399 0.6758774999
|
||||
400 0.674257556
|
||||
401 0.6744500768
|
||||
402 0.6742630662
|
||||
403 0.6744457282
|
||||
404 0.6742174127
|
||||
405 0.6734987366
|
||||
406 0.6729855494
|
||||
407 0.6731316265
|
||||
408 0.6729894813
|
||||
409 0.6729882867
|
||||
410 0.6731556954
|
||||
411 0.67381161
|
||||
412 0.6735362037
|
||||
413 0.6735213411
|
||||
414 0.671486234
|
||||
415 0.6714822742
|
||||
416 0.6713899891
|
||||
417 0.6711145287
|
||||
418 0.6688901421
|
||||
419 0.6679873134
|
||||
420 0.6680276744
|
||||
421 0.666872873
|
||||
422 0.6668575063
|
||||
423 0.6665635652
|
||||
424 0.6649617379
|
||||
425 0.6633940791
|
||||
426 0.6636302564
|
||||
427 0.6636343992
|
||||
428 0.663468779
|
||||
429 0.6625252998
|
||||
430 0.6625226231
|
||||
431 0.6625147234
|
||||
432 0.6617909727
|
||||
433 0.6614899183
|
||||
434 0.661365814
|
||||
435 0.6600926685
|
||||
436 0.6597849938
|
||||
437 0.6603023695
|
||||
438 0.6528770613
|
||||
439 0.6514141545
|
||||
440 0.6502635912
|
||||
441 0.6484903079
|
||||
442 0.6483447778
|
||||
443 0.6483471222
|
||||
444 0.6476136529
|
||||
445 0.6472784089
|
||||
446 0.6473599975
|
||||
447 0.6472058053
|
||||
448 0.6473766375
|
||||
449 0.6453241595
|
||||
450 0.6437468577
|
||||
451 0.6437502203
|
||||
452 0.6434538112
|
||||
453 0.6431247425
|
||||
454 0.643151461
|
||||
455 0.6434814174
|
||||
456 0.6435177392
|
||||
457 0.6429363854
|
||||
458 0.6429235336
|
||||
459 0.6427475495
|
||||
460 0.6423689941
|
||||
461 0.6423852043
|
||||
462 0.6420109002
|
||||
463 0.6411115834
|
||||
464 0.6411740429
|
||||
465 0.6412380247
|
||||
466 0.6416268611
|
||||
467 0.6412228814
|
||||
468 0.6412094535
|
||||
469 0.6412109823
|
||||
470 0.6411970005
|
||||
471 0.6417421494
|
||||
472 0.6399315417
|
||||
473 0.6398798548
|
||||
474 0.6322956144
|
||||
475 0.6308785445
|
||||
476 0.6306212835
|
||||
477 0.6309976188
|
||||
478 0.6310380912
|
||||
479 0.6310315619
|
||||
480 0.6308823862
|
||||
481 0.6308528195
|
||||
482 0.6308458551
|
||||
483 0.6297013346
|
||||
484 0.6284317976
|
||||
485 0.6287433023
|
||||
486 0.6222261618
|
||||
487 0.6222234606
|
||||
488 0.6222162257
|
||||
489 0.6220264698
|
||||
490 0.6221120275
|
||||
491 0.6224638598
|
||||
492 0.6224852628
|
||||
493 0.6222532964
|
||||
494 0.6222114892
|
||||
495 0.6208532905
|
||||
496 0.6196003429
|
||||
497 0.6163470246
|
||||
498 0.6163593976
|
||||
499 0.6159186085
|
||||
500 0.6157069858
|
||||
501 0.6157041187
|
||||
502 0.6157051131
|
|
504
notebook/catboost_info/time_left.tsv
Normal file
504
notebook/catboost_info/time_left.tsv
Normal file
@ -0,0 +1,504 @@
|
||||
iter Passed Remaining
|
||||
0 21 10693
|
||||
1 47 11830
|
||||
2 71 11953
|
||||
3 96 11989
|
||||
4 120 11996
|
||||
5 141 11754
|
||||
6 167 11890
|
||||
7 186 11514
|
||||
8 211 11596
|
||||
9 230 11346
|
||||
10 254 11402
|
||||
11 279 11422
|
||||
12 293 11072
|
||||
13 317 11096
|
||||
14 343 11173
|
||||
15 378 11532
|
||||
16 418 11965
|
||||
17 449 12106
|
||||
18 477 12167
|
||||
19 511 12348
|
||||
20 541 12422
|
||||
21 566 12390
|
||||
22 594 12397
|
||||
23 621 12401
|
||||
24 647 12387
|
||||
25 678 12452
|
||||
26 705 12437
|
||||
27 731 12402
|
||||
28 759 12411
|
||||
29 788 12433
|
||||
30 815 12413
|
||||
31 842 12396
|
||||
32 869 12390
|
||||
33 897 12377
|
||||
34 925 12369
|
||||
35 951 12347
|
||||
36 978 12326
|
||||
37 994 12164
|
||||
38 1023 12180
|
||||
39 1060 12270
|
||||
40 1095 12347
|
||||
41 1124 12337
|
||||
42 1152 12333
|
||||
43 1192 12435
|
||||
44 1224 12463
|
||||
45 1252 12441
|
||||
46 1284 12464
|
||||
47 1312 12444
|
||||
48 1341 12426
|
||||
49 1400 12691
|
||||
50 1455 12901
|
||||
51 1485 12881
|
||||
52 1511 12834
|
||||
53 1541 12817
|
||||
54 1570 12790
|
||||
55 1599 12770
|
||||
56 1628 12739
|
||||
57 1657 12713
|
||||
58 1678 12635
|
||||
59 1706 12601
|
||||
60 1735 12578
|
||||
61 1767 12573
|
||||
62 1798 12558
|
||||
63 1827 12535
|
||||
64 1856 12513
|
||||
65 1884 12476
|
||||
66 1912 12445
|
||||
67 1939 12405
|
||||
68 1966 12365
|
||||
69 1992 12324
|
||||
70 2010 12234
|
||||
71 2034 12179
|
||||
72 2062 12148
|
||||
73 2089 12113
|
||||
74 2114 12068
|
||||
75 2138 12013
|
||||
76 2163 11968
|
||||
77 2187 11921
|
||||
78 2212 11874
|
||||
79 2236 11825
|
||||
80 2261 11781
|
||||
81 2287 11743
|
||||
82 2313 11704
|
||||
83 2335 11651
|
||||
84 2361 11610
|
||||
85 2386 11571
|
||||
86 2411 11529
|
||||
87 2435 11486
|
||||
88 2461 11447
|
||||
89 2485 11407
|
||||
90 2511 11371
|
||||
91 2537 11335
|
||||
92 2563 11299
|
||||
93 2589 11268
|
||||
94 2617 11240
|
||||
95 2637 11183
|
||||
96 2675 11197
|
||||
97 2707 11188
|
||||
98 2736 11165
|
||||
99 2772 11174
|
||||
100 2802 11154
|
||||
101 2830 11128
|
||||
102 2859 11104
|
||||
103 2887 11078
|
||||
104 2916 11056
|
||||
105 2945 11031
|
||||
106 2973 11004
|
||||
107 3001 10977
|
||||
108 3029 10951
|
||||
109 3057 10924
|
||||
110 3092 10921
|
||||
111 3120 10894
|
||||
112 3148 10867
|
||||
113 3177 10843
|
||||
114 3207 10821
|
||||
115 3237 10800
|
||||
116 3266 10777
|
||||
117 3312 10806
|
||||
118 3348 10803
|
||||
119 3385 10805
|
||||
120 3415 10783
|
||||
121 3460 10805
|
||||
122 3490 10783
|
||||
123 3519 10758
|
||||
124 3550 10737
|
||||
125 3579 10711
|
||||
126 3616 10705
|
||||
127 3650 10694
|
||||
128 3685 10685
|
||||
129 3721 10676
|
||||
130 3755 10663
|
||||
131 3790 10653
|
||||
132 3831 10659
|
||||
133 3876 10674
|
||||
134 3917 10677
|
||||
135 3956 10677
|
||||
136 3995 10674
|
||||
137 4033 10668
|
||||
138 4070 10659
|
||||
139 4109 10654
|
||||
140 4151 10657
|
||||
141 4190 10652
|
||||
142 4226 10640
|
||||
143 4265 10633
|
||||
144 4304 10627
|
||||
145 4340 10614
|
||||
146 4376 10598
|
||||
147 4410 10580
|
||||
148 4450 10574
|
||||
149 4484 10552
|
||||
150 4519 10535
|
||||
151 4553 10515
|
||||
152 4586 10492
|
||||
153 4621 10472
|
||||
154 4656 10453
|
||||
155 4691 10435
|
||||
156 4726 10415
|
||||
157 4759 10392
|
||||
158 4793 10370
|
||||
159 4825 10345
|
||||
160 4863 10331
|
||||
161 4892 10299
|
||||
162 4941 10307
|
||||
163 4993 10322
|
||||
164 5040 10324
|
||||
165 5093 10341
|
||||
166 5142 10347
|
||||
167 5177 10324
|
||||
168 5213 10303
|
||||
169 5250 10284
|
||||
170 5283 10257
|
||||
171 5317 10232
|
||||
172 5350 10206
|
||||
173 5384 10181
|
||||
174 5418 10156
|
||||
175 5454 10135
|
||||
176 5488 10109
|
||||
177 5525 10088
|
||||
178 5562 10067
|
||||
179 5604 10057
|
||||
180 5642 10038
|
||||
181 5685 10027
|
||||
182 5721 10004
|
||||
183 5757 9981
|
||||
184 5803 9974
|
||||
185 5838 9950
|
||||
186 5881 9939
|
||||
187 5920 9920
|
||||
188 5978 9933
|
||||
189 6033 9940
|
||||
190 6099 9963
|
||||
191 6137 9942
|
||||
192 6224 9998
|
||||
193 6320 10067
|
||||
194 6352 10034
|
||||
195 6377 9989
|
||||
196 6407 9952
|
||||
197 6437 9916
|
||||
198 6469 9883
|
||||
199 6500 9848
|
||||
200 6533 9817
|
||||
201 6559 9774
|
||||
202 6591 9740
|
||||
203 6621 9705
|
||||
204 6656 9675
|
||||
205 6687 9642
|
||||
206 6720 9610
|
||||
207 6753 9578
|
||||
208 6787 9548
|
||||
209 6819 9515
|
||||
210 6851 9481
|
||||
211 6882 9446
|
||||
212 6915 9416
|
||||
213 6948 9383
|
||||
214 6982 9352
|
||||
215 7013 9319
|
||||
216 7043 9282
|
||||
217 7073 9247
|
||||
218 7106 9215
|
||||
219 7140 9184
|
||||
220 7172 9152
|
||||
221 7206 9122
|
||||
222 7239 9090
|
||||
223 7272 9058
|
||||
224 7309 9031
|
||||
225 7345 9003
|
||||
226 7377 8970
|
||||
227 7410 8938
|
||||
228 7453 8917
|
||||
229 7491 8892
|
||||
230 7525 8860
|
||||
231 7557 8827
|
||||
232 7590 8795
|
||||
233 7624 8764
|
||||
234 7656 8732
|
||||
235 7688 8698
|
||||
236 7720 8665
|
||||
237 7752 8632
|
||||
238 7784 8598
|
||||
239 7817 8566
|
||||
240 7860 8544
|
||||
241 7904 8525
|
||||
242 7955 8511
|
||||
243 8022 8515
|
||||
244 8071 8499
|
||||
245 8117 8480
|
||||
246 8163 8461
|
||||
247 8211 8443
|
||||
248 8261 8427
|
||||
249 8309 8409
|
||||
250 8349 8383
|
||||
251 8386 8353
|
||||
252 8423 8323
|
||||
253 8460 8294
|
||||
254 8496 8263
|
||||
255 8534 8234
|
||||
256 8568 8201
|
||||
257 8607 8173
|
||||
258 8649 8148
|
||||
259 8685 8117
|
||||
260 8726 8091
|
||||
261 8762 8060
|
||||
262 8799 8030
|
||||
263 8834 7997
|
||||
264 8869 7965
|
||||
265 8902 7931
|
||||
266 8940 7902
|
||||
267 8975 7870
|
||||
268 9010 7838
|
||||
269 9043 7804
|
||||
270 9078 7772
|
||||
271 9105 7733
|
||||
272 9139 7700
|
||||
273 9171 7664
|
||||
274 9203 7630
|
||||
275 9235 7596
|
||||
276 9269 7562
|
||||
277 9303 7529
|
||||
278 9336 7496
|
||||
279 9371 7463
|
||||
280 9405 7430
|
||||
281 9440 7398
|
||||
282 9470 7362
|
||||
283 9501 7327
|
||||
284 9535 7293
|
||||
285 9571 7261
|
||||
286 9616 7237
|
||||
287 9657 7209
|
||||
288 9690 7175
|
||||
289 9723 7141
|
||||
290 9763 7112
|
||||
291 9804 7084
|
||||
292 9837 7050
|
||||
293 9868 7015
|
||||
294 9898 6978
|
||||
295 9928 6943
|
||||
296 9960 6908
|
||||
297 9989 6872
|
||||
298 10019 6835
|
||||
299 10047 6798
|
||||
300 10076 6762
|
||||
301 10103 6724
|
||||
302 10129 6686
|
||||
303 10155 6648
|
||||
304 10184 6611
|
||||
305 10211 6574
|
||||
306 10238 6536
|
||||
307 10265 6499
|
||||
308 10290 6460
|
||||
309 10317 6423
|
||||
310 10346 6387
|
||||
311 10390 6360
|
||||
312 10428 6330
|
||||
313 10459 6295
|
||||
314 10490 6261
|
||||
315 10529 6230
|
||||
316 10559 6195
|
||||
317 10589 6160
|
||||
318 10621 6126
|
||||
319 10653 6092
|
||||
320 10683 6057
|
||||
321 10714 6022
|
||||
322 10744 5987
|
||||
323 10775 5953
|
||||
324 10808 5919
|
||||
325 10838 5884
|
||||
326 10868 5849
|
||||
327 10898 5814
|
||||
328 10927 5779
|
||||
329 10957 5744
|
||||
330 10988 5709
|
||||
331 11017 5674
|
||||
332 11047 5640
|
||||
333 11076 5604
|
||||
334 11106 5569
|
||||
335 11139 5536
|
||||
336 11169 5501
|
||||
337 11201 5468
|
||||
338 11236 5435
|
||||
339 11266 5401
|
||||
340 11297 5367
|
||||
341 11327 5332
|
||||
342 11356 5297
|
||||
343 11385 5262
|
||||
344 11414 5227
|
||||
345 11443 5192
|
||||
346 11472 5157
|
||||
347 11501 5122
|
||||
348 11531 5088
|
||||
349 11561 5053
|
||||
350 11590 5019
|
||||
351 11620 4984
|
||||
352 11652 4951
|
||||
353 11682 4917
|
||||
354 11711 4882
|
||||
355 11745 4849
|
||||
356 11783 4819
|
||||
357 11821 4788
|
||||
358 11859 4757
|
||||
359 11900 4727
|
||||
360 11947 4699
|
||||
361 12002 4675
|
||||
362 12043 4645
|
||||
363 12085 4615
|
||||
364 12127 4585
|
||||
365 12170 4555
|
||||
366 12212 4525
|
||||
367 12253 4495
|
||||
368 12292 4463
|
||||
369 12331 4432
|
||||
370 12367 4400
|
||||
371 12404 4368
|
||||
372 12440 4335
|
||||
373 12476 4303
|
||||
374 12511 4270
|
||||
375 12545 4237
|
||||
376 12584 4206
|
||||
377 12626 4175
|
||||
378 12684 4150
|
||||
379 12733 4121
|
||||
380 12769 4088
|
||||
381 12804 4055
|
||||
382 12849 4025
|
||||
383 12885 3993
|
||||
384 12920 3960
|
||||
385 12953 3926
|
||||
386 12987 3892
|
||||
387 13023 3860
|
||||
388 13057 3826
|
||||
389 13093 3793
|
||||
390 13126 3760
|
||||
391 13159 3726
|
||||
392 13194 3693
|
||||
393 13227 3659
|
||||
394 13259 3625
|
||||
395 13291 3591
|
||||
396 13322 3557
|
||||
397 13355 3523
|
||||
398 13388 3489
|
||||
399 13419 3455
|
||||
400 13451 3421
|
||||
401 13485 3388
|
||||
402 13518 3354
|
||||
403 13552 3320
|
||||
404 13585 3287
|
||||
405 13617 3253
|
||||
406 13647 3219
|
||||
407 13680 3185
|
||||
408 13711 3151
|
||||
409 13741 3117
|
||||
410 13774 3083
|
||||
411 13805 3049
|
||||
412 13835 3014
|
||||
413 13863 2980
|
||||
414 13894 2946
|
||||
415 13923 2911
|
||||
416 13950 2877
|
||||
417 13977 2842
|
||||
418 14004 2807
|
||||
419 14031 2772
|
||||
420 14057 2738
|
||||
421 14082 2703
|
||||
422 14108 2668
|
||||
423 14134 2633
|
||||
424 14160 2598
|
||||
425 14184 2563
|
||||
426 14210 2529
|
||||
427 14236 2494
|
||||
428 14266 2460
|
||||
429 14295 2426
|
||||
430 14334 2394
|
||||
431 14374 2362
|
||||
432 14403 2328
|
||||
433 14431 2294
|
||||
434 14468 2261
|
||||
435 14497 2227
|
||||
436 14528 2194
|
||||
437 14556 2160
|
||||
438 14588 2126
|
||||
439 14618 2093
|
||||
440 14646 2059
|
||||
441 14674 2025
|
||||
442 14707 1991
|
||||
443 14741 1958
|
||||
444 14771 1925
|
||||
445 14801 1891
|
||||
446 14832 1858
|
||||
447 14862 1824
|
||||
448 14891 1790
|
||||
449 14922 1757
|
||||
450 14960 1724
|
||||
451 14998 1692
|
||||
452 15037 1659
|
||||
453 15104 1630
|
||||
454 15158 1599
|
||||
455 15196 1566
|
||||
456 15228 1532
|
||||
457 15260 1499
|
||||
458 15292 1465
|
||||
459 15326 1432
|
||||
460 15356 1399
|
||||
461 15388 1365
|
||||
462 15418 1332
|
||||
463 15449 1298
|
||||
464 15483 1265
|
||||
465 15514 1231
|
||||
466 15546 1198
|
||||
467 15577 1165
|
||||
468 15609 1131
|
||||
469 15640 1098
|
||||
470 15669 1064
|
||||
471 15704 1031
|
||||
472 15747 998
|
||||
473 15786 965
|
||||
474 15824 932
|
||||
475 15861 899
|
||||
476 15899 866
|
||||
477 15938 833
|
||||
478 15978 800
|
||||
479 16014 767
|
||||
480 16050 734
|
||||
481 16089 700
|
||||
482 16124 667
|
||||
483 16159 634
|
||||
484 16194 601
|
||||
485 16230 567
|
||||
486 16268 534
|
||||
487 16305 501
|
||||
488 16340 467
|
||||
489 16377 434
|
||||
490 16412 401
|
||||
491 16447 367
|
||||
492 16483 334
|
||||
493 16529 301
|
||||
494 16577 267
|
||||
495 16612 234
|
||||
496 16648 200
|
||||
497 16689 167
|
||||
498 16725 134
|
||||
499 16760 100
|
||||
500 16793 67
|
||||
501 16826 33
|
||||
502 16859 0
|
|
Binary file not shown.
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -282,7 +282,7 @@ def show_pimpinan_exploration():
|
||||
if menu_option == "Semua Data Karyawan":
|
||||
col1, col2 = st.columns(2)
|
||||
with col1:
|
||||
filter_employee_id = st.text_input("Filter berdasarkan Karyawan_ID", placeholder="Contoh: EM12345")
|
||||
filter_employee_id = st.text_input("Filter berdasarkan ID_Karyawan", placeholder="Contoh: EM12345")
|
||||
with col2:
|
||||
filter_departemen = st.selectbox(
|
||||
"Filter berdasarkan Departemen",
|
||||
@ -296,7 +296,7 @@ def show_pimpinan_exploration():
|
||||
if not df.empty:
|
||||
# Terapkan filter
|
||||
if filter_employee_id:
|
||||
df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
|
||||
df = df[df['ID_Karyawan'].str.contains(filter_employee_id, na=False)]
|
||||
|
||||
if filter_departemen != "Semua":
|
||||
df = df[df['Departemen'] == filter_departemen]
|
||||
@ -320,14 +320,14 @@ def show_pimpinan_exploration():
|
||||
|
||||
col1, col2 = st.columns(2)
|
||||
with col1:
|
||||
filter_employee_id = st.text_input("Filter berdasarkan Karyawan_ID", placeholder="Contoh: EM12345")
|
||||
filter_employee_id = st.text_input("Filter berdasarkan ID_Karyawan", placeholder="Contoh: EM12345")
|
||||
with col2:
|
||||
filter_retensi = st.selectbox("Pilih Kategori Retensi/Tidak", ["Semua", "Retensi", "Tidak Retensi"])
|
||||
|
||||
if not df.empty:
|
||||
# Terapkan filter
|
||||
if filter_employee_id:
|
||||
df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
|
||||
df = df[df['ID_Karyawan'].str.contains(filter_employee_id, na=False)]
|
||||
|
||||
if filter_retensi != "Semua":
|
||||
df = df[df["Hasil_Prediksi_Retensi"] == filter_retensi]
|
||||
|
@ -14,7 +14,7 @@ import time
|
||||
import json
|
||||
|
||||
reg_model = pickle.load(open('regression_model_final.sav', 'rb'))
|
||||
class_model = pickle.load(open('clasification_final_model.sav', 'rb'))
|
||||
class_model = pickle.load(open('clasification_final_model_smote.sav', 'rb'))
|
||||
train_file_path = 'X_train.csv'
|
||||
|
||||
with open("feature_explanation.json", "r") as f:
|
||||
@ -78,7 +78,6 @@ def process_employee_data(df):
|
||||
df["income_6_months"] = df["income"] * 6
|
||||
df["total_income_work"] = df["income"] * df["active_work_months"]
|
||||
|
||||
df["absence_ratio"] = df["absent_90D"] / (df["active_work"] / 90)
|
||||
df["income_dependant_ratio"] = df["income"] / (df["dependant"] + 1)
|
||||
df["work_efficiency"] = df["avg_time_work"] / 8
|
||||
|
||||
@ -95,15 +94,6 @@ def process_employee_data(df):
|
||||
# Work Stability Score
|
||||
df['work_stability_score'] = df['active_work_months'] / (df['absent_90D'] + 1)
|
||||
|
||||
# Married-Dependent Ratio
|
||||
def married_dependent_ratio(row):
|
||||
if row['marriage_stat'] == 'Married':
|
||||
return row['dependant'] + 1
|
||||
else:
|
||||
return 1
|
||||
|
||||
df['married_dependent_ratio'] = df.apply(married_dependent_ratio, axis=1)
|
||||
|
||||
# Job Income to Position Score
|
||||
position_score_mapping = {'Junior': 2, 'Staff': 1, 'Senior': 3, 'Manager': 4}
|
||||
df['position_score'] = df['position'].map(position_score_mapping)
|
||||
@ -119,20 +109,6 @@ def process_employee_data(df):
|
||||
0.6 * df['job_satisfaction'] + 0.4 * df['performance_rating']
|
||||
)
|
||||
|
||||
# Resign Risk Indicator
|
||||
def resign_risk_indicator(row):
|
||||
if row['age_years'] < 30 and row['active_work_months'] < 12:
|
||||
return "High"
|
||||
elif 1 <= row['active_work_months'] <= 36:
|
||||
return "Medium"
|
||||
else:
|
||||
return "Low"
|
||||
|
||||
df['resign_risk_indicator'] = df.apply(resign_risk_indicator, axis=1)
|
||||
|
||||
# Adjusted Work Time
|
||||
df['adjusted_work_time'] = df['avg_time_work'] * (1 - (df['absent_90D'] / ((df['active_work_months'] * 90) + 1)))
|
||||
|
||||
job_satisfaction_mapping = {1.0: 'Low', 2.0: 'Medium', 3.0: 'High', 4.0: 'Very High'}
|
||||
df['job_satisfaction'] = df['job_satisfaction'].map(job_satisfaction_mapping)
|
||||
|
||||
@ -407,7 +383,7 @@ def show_prediction():
|
||||
|
||||
# Kolom kategori
|
||||
cat_feature = ['departemen', 'position', 'domisili', 'marriage_stat', 'job_satisfaction',
|
||||
'performance_rating', 'education', 'active_work_category', 'resign_risk_indicator', 'jenis_kelamin']
|
||||
'performance_rating', 'education', 'active_work_category', 'jenis_kelamin']
|
||||
|
||||
X_test_class = df[expected_columns_class]
|
||||
X_test_reg = df[expected_columns_reg]
|
||||
|
BIN
pages/__pycache__/Dashboard.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Dashboard.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Dashboard_Pimpinan.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Dashboard_Pimpinan.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Form_Keluhan.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Form_Keluhan.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Form_Kepuasan.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Form_Kepuasan.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Form_Penilaian.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Form_Penilaian.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Laporan.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Laporan.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/Prediksi.cpython-310.pyc
Normal file
BIN
pages/__pycache__/Prediksi.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
BIN
pages/__pycache__/__init__.cpython-310.pyc
Normal file
BIN
pages/__pycache__/__init__.cpython-310.pyc
Normal file
Binary file not shown.
BIN
pages/__pycache__/home.cpython-310.pyc
Normal file
BIN
pages/__pycache__/home.cpython-310.pyc
Normal file
Binary file not shown.
BIN
pages/__pycache__/login.cpython-310.pyc
Normal file
BIN
pages/__pycache__/login.cpython-310.pyc
Normal file
Binary file not shown.
Binary file not shown.
Reference in New Issue
Block a user