Better for capturing complex interactions between satisfaction and pay.
Lower monthly income is often the strongest predictor of leaving.
New hires (0–2 years) and those who haven't been promoted recently are higher risks. 4. Predictive Modeling Steps
Identify trends by looking for correlations between these key factors:
Years at Company, Years in Current Role, Performance Rating, Training Times Last Year.
If you are building a machine learning model, follow this workflow:
Monthly Income, Percent Salary Hike, Stock Option Level.
Better for capturing complex interactions between satisfaction and pay.
Lower monthly income is often the strongest predictor of leaving. Attrition_cb01_gold_HD_2018
New hires (0–2 years) and those who haven't been promoted recently are higher risks. 4. Predictive Modeling Steps Years in Current Role
Identify trends by looking for correlations between these key factors: follow this workflow: Monthly Income
Years at Company, Years in Current Role, Performance Rating, Training Times Last Year.
If you are building a machine learning model, follow this workflow:
Monthly Income, Percent Salary Hike, Stock Option Level.