Important features for predicting attrition

Analitik SDM: Memprediksi Perputaran Karyawan dengan Python

Hrant Davtyan

Assistant Professor of Data Science American University of Armenia

Feature Importances

  • Importance is calculated as relative decrease in Gini due to the selected feature.
  • Importances are scaled to sum up to 100%.
  • Higher percentage, higher importance.
Analitik SDM: Memprediksi Perputaran Karyawan dengan Python

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Analitik SDM: Memprediksi Perputaran Karyawan dengan Python

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