• How-To
Random ForestsĀ® Classification
Before you start
  • Overview
  • Data considerations
  • Example
  • Example of prediction
Perform the analysis
  • Enter your data
  • Specify the class weights
  • Specify the validation method
  • Select the options
  • Select the graphs to display
  • Select the results to display
  • Store statistics
Predict new results
  • Predict new results
  • Select the prediction results to display
  • Store prediction statistics
Interpret the results
  • Method table
  • Response information table
  • Optimization of hyperparameters
  • Misclassification rate vs number of trees plot
  • Model summary table
  • Relative variable importance chart
  • Confusion matrix
  • Misclassification table
  • Receiver operating characteristic (ROC) curve
  • Gain chart and Lift chart
  • Prediction table
Methods and formulas
  • Methods
  • Response information
  • Model summary
  • Confusion matrix
  • Misclassification table
  • ROC curve
  • Gain chart
  • Cumulative lift chart
  • Lift chart