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Table 4 Deviation performance of classifiers

From: Detection for melanoma skin cancer through ACCF, BPPF, and CLF techniques with machine learning approach

S. No.

Ensemble classifier

Mean absolute error

Root mean squared error

Relative absolute error (%)

Root relative squared error (%)

1

Bagging with auto color correlogram filter

0.23

0.42

50.66

90.30

2

Attribute selected classifier with auto color correlogram filter

0.38

0.46

96.98

99.73

3

Bagging with binary patterns pyramid filter

0.24

0.40

55.05

82.96

4

Attribute selected classifier with binary patterns pyramid filter

0.25

0.37

54.51

76.18

5

Bagging with colour layout filter

0.27

0.41

62.25

86.34

6

Attribute selected classifier with colour layout filter

0.24

0.30

53.73

74.40