Research Article
Identification and Analysis of Driver Missense Mutations Using Rotation Forest with Feature Selection
Table 4
The detailed information of the four classifiers.
| Method | Dataset | TP | FP | TN | FN |
| mRMR-RF | TP53 | 1029 | 620 | 3919 | 0 | EGFR | 117 | 620 | 3919 | 0 | Cosmic2plus | 902 | 620 | 3919 | 211 |
| DX-SVMLight | TP53 | 1029 | 651 | 3888 | 0 | EGFR | 117 | 651 | 3888 | 0 | Cosmic2plus | 940 | 651 | 3888 | 173 |
| DX-LibSVM | TP53 | 1029 | 895 | 3644 | 0 | EGFR | 117 | 895 | 3644 | 0 | Cosmic2plus | 963 | 895 | 3644 | 150 |
| DX-RF | TP53 | 1029 | 597 | 3942 | 0 | EGFR | 117 | 597 | 3942 | 0 | Cosmic2plus | 892 | 597 | 3942 | 221 |
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