Table 6 Proposed vs baselines algorithm t-test, Wilcoxon signed-rank test (simulated 10- Trail) on breast cancer classification problem.

From: A hybrid bio inspired neural model based on Ropalidia Marginata behavior for multi disease classification

Proposed Algo

Baseline Algo

Proposed Algo

Baseline Algo

t-test

Wilcoxon p value

Acc

Acc

p-value

RMONN

CSNN

98.6

91.61

8.26E−26

0.00195

ABCNN

85.31

1.25E−28

0.00195

CSBPERN

97.37

1.99E−27

0.00185

DNN-RBM

98.24

1.37E−21

0.00197

RMOBPERN

CSNN

98.6

91.61

5.14E−25

0.00178

ABCNN

85.31

9.42E−28

0.00234

CSBPERN

97.37

2.31E−26

0.00168

DNN-RBM

98.24

1.02E−20

0.00195

RMOLMBP

CSNN

97.2

91.61

3.58E−24

0.00189

ABCNN

85.31

7.13E−27

0.00184

CSBPERN

97.37

4.29E−05

0.05

DNN-RBM

98.24

8.46E−06

0.01172

RMOLM

CSNN

96.5

91.61

2.14E−23

0.00187

ABCNN

85.31

6.91E−26

0.00197

CSBPERN

97.37

2.18E−04

0.02539

DNN-RBM

98.24

1.09E−05

0.00781