Select the model you want to delete and click the Delete selected You can also delete unwanted models listed in the Models Model sorting, use the Sort by list at the top of the You can sort models based on the different model metrics. Percentage of observations that are correctly classified For more information, see Evaluate Test Set Model Performance. Test Results metrics, if displayed, are calculated on an Results metrics are calculated on the validation set. You can view model metrics in the Current Model Summary paneĪnd use these metrics to assess and compare models. 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. For cross-validation, the score is the accuracy on all observations,Ĭounting each observation when it was in a holdout (validation)įor holdout validation, the score is the accuracy on the held-outįor resubstitution validation, the score is the resubstitutionĪccuracy against all the training data observations.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |