Confusion Matirx
Bob Matthews <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
=== Summary === Correctly Classified Instances 376 62.5624 % Incorrectly Classified Instances 225 37.4376 % Kappa statistic 0 Mean absolute error 0.4684 Root mean squared error 0.484 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 601 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1.000 1.000 0.626 1.000 0.770 ? 0.500 0.626 TRUE 0.000 0.000 ? 0.000 ? ? 0.500 0.374 FALSE Weighted Avg. 0.626 0.626 ? 0.626 ? ? 0.500 0.532 === Confusion Matrix === a b <-- classified as 376 0 | a = TRUE 225 0 | b = FALSE When testing against the test set(30%) all predictions are TRUE !!! I am using J48 -C 0.25 -M 2 My instances comprise to values:- (a) a real value (decimal) (b) a nominal value (TRUE/FALSE) My question: What does it mean when ALL predictions are "TRUE" How do I improve so that the predictions are either "TRUE" or "FALSE" Bob M _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html