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.