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Table 6 Datasets, cost weights and WCAs with the two approaches proposed

From: Learning misclassification costs for imbalanced classification on gene expression data

Dataset

Cost weight

WCA

type

p

w

optimal

wc1

wc2

wc3

optimal

wc1

wc2

wc3

ECSELM

ovarian

1.68

0.1

1.65

1.63

1.53

1.58

0.9055

0.9695

0.1966

0.2084

0.1017

Prostate

2.5

0.9

1.04

1.05

1.05

1

0.9372

0.9815

0.9509

0.9869

0.8985

Lung1

5

0.1

4.26

4.03

4.1

3.94

0.9078

0.9778

0.9786

0.9779

0.875

Lung2

8

0.9

0.92

0.9

0.66

0.61

0.9009

0.9564

0.9762

0.9675

0.9