Research Article
Classification of Microarray Data Using Kernel Fuzzy Inference System
Table 15
Average training, average testing accuracy, and CPU time (in seconds) with different models.
| | Models∖number of Features | F5 | F10 | F15 | F20 | F25 | F30 | | Train Acc. | Test Acc. | Train Acc. | Test Acc. | Train Acc. | Test Acc. | Train Acc. | Test Acc. | Train Acc. | Test Acc. | Train Acc. | Test Acc. |
| | KFIS (linear kernel) | 95.71 | 93.06 (2.9) | 97.81 | 97.22 (7.6) | 96.86 | 91.66 (14.7) | 94.5 | 94.44 (24.6) | 96.88 | 95.83 (30.4) | 95.98 | 95.83 (37.1) | | KFIS (poly kernel) | 98.55 | 98.61 (44.3) | 97.19 | 97.22 (52.1) | 97.83 | 95.83 (60.2) | 94.31 | 95.83 (79.5) | 96.79 | 95.83 (81.5) | 96.76 | 95.83 (80.7) | | KFIS (RBF kernel) | 99.24 | 97.22 (5.5) | 95.71 | 95.83 (13.4) | 96.55 | 97.22 (18.8) | 92.12 | 93.05 (26.1) | 92.07 | 93.05 (31.3) | 89.36 | 87.50 (36.8) | | KFIS (tansig kernel) | 98.71 | 98.61 (41.7) | 97.19 | 97.22 (53.4) | 97.5 | 95.83 (69.9) | 93.88 | 94.44 (81.1) | 96.92 | 96.83 (80.7) | 96.62 | 96.83 (84.2) |
| | SVM (linear Kernel) | 97.22 | 97.22 (3) | 97.37 | 97.22 (3.5) | 96.61 | 94.44 (3.6) | 97.22 | 95.83 (3.8) | 97.22 | 95.83 (4) | 97.84 | 97.22 (4.2) | | SVM (poly Kernel) | 96.75 | 91.67 (1.5) | 96.14 | 94.44 (1.6) | 96.76 | 93.06 (1.7) | 95.83 | 93.06 (2) | 97.22 | 97.22 (2.2) | 97.22 | 97.22 (2.3) | | SVM (RBF Kernel) | 97.68 | 94.44 (2) | 97.84 | 97.22 (2.3) | 99.38 | 100.00 (2.7) | 98.00 | 95.83 (3.2) | 98.61 | 98.61 (3.7) | 98.15 | 98.61 (4.7) | | SVM (tansig Kernel) | 98.00 | 97.22 (3.1) | 98.30 | 98.61 (3.3) | 98.15 | 95.83 (3.5) | 97.69 | 94.44 (3.7) | 97.22 | 95.83 (4) | 97.84 | 97.22 (4.7) |
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