Skip to main content

Table 6 Classifier performance without filtering on large default payments dataset

From: Improving binary classification using filtering based on k-NN proximity graphs

ClassifierDecision TreeLogistic regressionNaive BayesSVMNeural NetworkRandom ForestDES-LA
Accuracy0.6570.7370.7740.8160.7930.8170.816
Sensitivity0.7810.9260.8370.9560.9850.9430.947
Specificity0.2170.0730.5510.3230.1180.3710.354
AUC0.50.4990.7360.7030.6860.7620.749
Brier Score0.3020.1960.1840.1520.1550.1390.141