Table 4 The comparison result of SVM, NB, VGG and LeNet classifiers with proposed approach
Datasets | NB | SVM | VGG | LeNet | Proposed model |
|---|---|---|---|---|---|
Mean classification accuracy (%) | Mean classification accuracy (%) | Mean classification accuracy (%) | Mean classification accuracy (%) | Mean classification accuracy (%) | |
Colon cancer data | 94.12 | 94.11 | 94.01 | 94.21 | 98.27 |
Acute leukemia data | 91.35 | 90.45 | 88.67 | 86.37 | 93.15 |
Prostate tumor data | 90.14 | 89.90 | 89.38 | 87.18 | 92.38 |
High-grade Glioma data | 90.32 | 89.22 | 91.24 | 90.04 | 92.16 |
Lung cancer II data | 93.71 | 92.34 | 91.34 | 94.22 | 96.23 |
Leukemia 2 data | 94.67 | 93.33 | 94.84 | 95.44 | 96.75 |
Breast data | 90.23 | 92.44 | 95.22 | 96.43 | 98.32 |
Ovarian cancer data | 91.45 | 93.22 | 94.44 | 96.06 | 96.98 |