The average AUC and the average accuracy of test data among mRMR, SVMRFE, ReliefF and proposed hybrid method for the top 15 ranked features
| MFEAT | Average AUC | Average accuracy (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| Dataset (digit) | mRMR | SVMRFE | ReliefF | Hybrid | mRMR | SVMRFE | ReliefF | Hybrid |
| “4” and “9” | 0.9960 | 0.9973 | 0.9960 | 1.0000 | 98.65 | 99.31 | 98.69 | 99.45 |
| “6” and “8” | 0.9960 | 0.9933 | 0.9873 | 0.9993 | 98.65 | 98.54 | 98.25 | 99.04 |
| MFEAT | Average AUC | Average accuracy (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| Dataset (digit) | mRMR | SVMRFE | ReliefF | Hybrid | mRMR | SVMRFE | ReliefF | Hybrid |
| “4” and “9” | 0.9960 | 0.9973 | 0.9960 | 98.65 | 99.31 | 98.69 | ||
| “6” and “8” | 0.9960 | 0.9933 | 0.9873 | 98.65 | 98.54 | 98.25 | ||
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