Compare Models

Compare CART Decision Tree, Random Forest, and Gradient Boosting models for the selected dependent and independent variables. For nominal dependent variables, the comparison uses classification accuracy as the main metric. For metric dependent variables, the comparison uses RMSE as the main metric, so you can find the best model for your prediction task.

Model-specific settings are available directly in the calculator so the comparison can be run immediately with defaults or adjusted before choosing the best model.