Table 10 Performance analysis of classifiers in colon cancer detection from EHO feature extraction.

From: Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions

S.No.

Classifiers

Accuracy

F1 score

MCC

Error rate

Kappa

1

GMM

90.32258065

92.30769231

0.794769584

9.677419355

0.792873051

2

PSO-GMM

91.93548387

93.67088608

0.82614923

8.064516129

0.825646794

3

DFA

88.70967742

91.13924051

0.756365507

11.29032258

0.755905512

4

NBC

90.32258065

92.30769231

0.794769584

9.677419355

0.792873051

5

Firefly-GMM

90.32258065

92.5

0.788636364

9.677419355

0.788636364

6

SVM (RBF)

95.16129032

96.20253165

0.895932952

4.838709677

0.895388076

7

FPO-GMM

96.77419355

97.5

0.929545455

3.225806452

0.929545455

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