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Predict employee burnout at work

HR AnalyticsRegressionPeople Analytics
ashokharnal profile image
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Jan 9, 2023 12:08 AM
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Employee burnout may occur for various reasons: employee under excessive pressure; bad relations with colleagues/seniors;not being given importance; unfair treatment;lack of specific role;lack of support etc. It is a simple workflow in HR Analytics demonstrating how to predict burn rate. Target, BurnRate is continuous. Dataset is from Kaggle (see link below). We also treat the problem as a classification problem after binning BurnRate into two classes.

External resources

  • Kaggle dataset site
  • Coefficient of determination--Wikipedia
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Created with KNIME Analytics Platform version 4.7.0
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