Models pane, and use the metrics to assess and compare You can view model metrics in the model Summary tab and the View Model Metrics in Summary Tab and Models Pane To find out how the classifier performed in each class, examine the confusion Want to exclude some predictors where data collection is expensive or ForĮxample, false positives in a particular class might be important to you. Slightly lower overall accuracy might be the best classifier for your goal. The best overall score might not be the best model for your goal. Not set aside for testing, counting each observation when it was in aįor holdout validation, the score is the accuracy on the held-outįor resubstitution validation, the score is the resubstitutionĪccuracy against all the training data observations. For cross-validation, the score is the accuracy on all observations
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