Research Article
Classification of Microarray Data Using Kernel Fuzzy Inference System
Table 14
Performance analysis of K-FIS using tansig kernel (
) with different set of features with best suitable cluster radius (
in small bracket).
| Models () | Accuracy | Precision | Recall | Specificity | -measure |
| F5 (0.2) | 0.9861 | 1.0000 | 0.9615 | 1.0000 | 0.9804 | F10 (0.2) | 0.9722 | 0.9600 | 0.9600 | 0.9787 | 0.9600 | F15 (0.2) | 0.9583 | 0.9600 | 0.9231 | 0.9783 | 0.9412 | F20 (0.2) | 0.9444 | 0.9200 | 0.9200 | 0.9575 | 0.9200 | F25 (0.2) | 0.9683 | 0.9600 | 0.9231 | 0.9783 | 0.9412 | F30 (0.2) | 0.9683 | 0.9600 | 0.9231 | 0.9783 | 0.9412 |
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