9150221909
HR Predictive Analytics: LIMĘ Feature Importance Visualization
Hołd Out (Test) Set, First 10 Cases Shown
Case: 1
Case:10
Label: No
Label: No
Probability: 0.78
TrainingTimesLastYear ErwironmentSatisfaction ■
Gender = Female I Age I
Probability: 0.70
T rainingTimesLastYear StockOptionLevel BusinessTravel = Travel_Rarely HourlyRate
0e+00 1e-04 2e-04
-6e-06 -3e-06 0e+00 3e-06 6e-06
Case: 2
Case: 3
Label: No
Label: Yes
Probability: 0.94
OverTime = No T rainingTimesLastYear BusinessTravel = Travel_Rarely YearsAtCompany
Probability: 0.96
T rainingTimesLastYear JobRole = Laboratory Technician BusinessTravel = Travel_Rarely DistanceFromHome
0.0e+00 5.0e-07 1.0e-06 1.5e-06 0.0e+00 5.0e-06 1.0e-05 1.5e-05
Case: 4
Case: 5
Label: No
Label: No
Probability: 0.97
T rainingTimesLastYear Department = Sales BusinessTravel = Travel_Rarely DistanceFromHome
0e+00 1 e-11 2e-11 3e-11 4e-11
Probability: 0.89
JobSatisfaction T rainingTimesLastYear YearsinCurrentRole BusinessTravel = Travel_Rarely
-4e-06 -2e-06 0e+00 2e-06
Case: 6
Case: 7
Label: No
Label: Yes
Probability: 0.97
StockOptionLevel OverTime = No TotalWorkingYears HourlyRate
0e+00 1e-08 2e-08 3e-08
Probability: 0.86
OverTime = Yes JobRole = Research Scientist YearsSinceLastPromotion Age
0.0e+00 4.0e-10 8.0e-10 1.2e-09
Case: 8 Case: 9
Label: No Label: No
Probability: 0.96 Probability: 0.83
|
OverTime = No | |||
|
Education | |||
|
MaritalStatus = Single DistanceFromHome ■ |
P |
OverTime = No MonthlyRate |
■ |
0e+00 5e-10 1e-09 0e+00 4e-08 8e-08
Weight
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