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Table 4 Difference between performance measures with and without filtering over all datasets

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

Classifier

DT (%)

LR (%)

NB (%)

SVM (%)

NN (%)

RF (%)

DES-LA (%)

ACC

2.97

0.38

1.65

0.11

0.07

0.35

0.57

Sens

6.14

0.85

3.07

0.26

1.41

2.59

1.12

Spec

7.12

0.74

7.92

− 0.15

− 2.98

5.42

− 1.08

AUC

− 1.53

4.53

3.76

− 1.54

− 2.56

4.23

0.17

BS

− 1.32

1.61

0.05

0.11

0.81

1.00

− 0.13