Random Forest Regression Details

The Model Detail screen includes the following information for Random Forest Regression models:

Metrics

Provides training, test, and n-fold data for the following:
  • Mean squared error (MSE)
  • Root mean squared error (RMSE)
  • Number of observations
  • R-squared (R2)
  • Mean residual deviance
  • Mean absolute error (MAE)
  • Root mean squared logarithmic error (RMSLE)

Variable Importances

Provides importance values for each variable using the following metrics:
  • Relative importance
  • Scaled importance
  • Percentage
Also charts the top 25 variables in the model.