AUC with cost-sensitive classifier, why does it change?
David <[email protected]>
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <[email protected]> |
Hi, it is unclear to me why in a dataset like breast-cancer.arff, using RandomForest in a cost-sensitive way (cost of Minimize expected cost = True, cost matrix= 0,10, 1,0 ) provides me an AUC of *0.498* whereas a standard random forest provides me an AUC of *0.634*. Since the cost-sensitive classifier should just apply different thresholds on results, and since AUC is threshold-independent, I do not understand why the two AUC are different. Thanks, Davide -- Sent from: https://weka.8497.n7.nabble.com/ _______________________________________________ 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