Skip to content

Latest commit

 

History

History
25 lines (21 loc) · 651 Bytes

turnover-prediction.md

File metadata and controls

25 lines (21 loc) · 651 Bytes

Employee Turnover Prediction

  • Bank of USA
    • 2013-2016
    • 28% had left
    • 14k employee entries
    • 24 features
  • IBM Watson Analytics
    • 16% had left
    • 1470 employee entries
    • 38 features

HR features: age, compensations, gender, education, ...

Preprocessing

  • Missing values
    • numeric type replaced with median value
    • categorical type replaced with mode value
  • Data type Conversion
    • categorical -> numeric
    • OHE
    • label encoding via sklearn
  • Feature Selection: PCA to reduce dimensionality (wasn't used)
  • Feature Scaling: scale the inputs to achieve good results (normalization and standardization were performed)