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

Journal of Big Data

Table 6 Classifier performance without filtering on large default payments dataset

Classifier	Decision Tree	Logistic regression	Naive Bayes	SVM	Neural Network	Random Forest	DES-LA
Accuracy	0.657	0.737	0.774	0.816	0.793	0.817	0.816
Sensitivity	0.781	0.926	0.837	0.956	0.985	0.943	0.947
Specificity	0.217	0.073	0.551	0.323	0.118	0.371	0.354
AUC	0.5	0.499	0.736	0.703	0.686	0.762	0.749
Brier Score	0.302	0.196	0.184	0.152	0.155	0.139	0.141