Research Article
Classification of Microarray Data Using Kernel Fuzzy Inference System
Table 12
Performance analysis of K-FIS using RBF kernel (
) with different set of features with best suitable cluster radius (
in small bracket).
| Models | Accuracy | Precision | Recall | Specificity | -measure |
| F5 (0.4) | 0.9722 | 1.0000 | 0.9259 | 1.0000 | 0.9615 | F10 (0.2) | 0.9583 | 0.9600 | 0.9231 | 0.9783 | 0.9412 | F15 (0.3) | 0.9722 | 1.0000 | 0.9259 | 1.0000 | 0.9615 | F20 (0.4) | 0.9306 | 1.0000 | 0.8333 | 1.0000 | 0.9091 | F25 (0.6) | 0.9306 | 1.0000 | 0.8333 | 1.0000 | 0.9091 | F30 (0.6) | 0.8750 | 0.9200 | 0.7667 | 0.9524 | 0.8364 |
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