Table 4.
The AUC of SVM and ANN by Leave-one-out Procedure Using Different Feature Subsets
| Subset num. | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
|---|---|---|---|---|---|---|---|
| SVM | 0.8714 | 0.8208 | 0.8721 | 0.8639 | 0.8865 | 0.8673 | 0.868 |
| ANN | 0.7825 | 0.7839 | 0.7592 | 0.8406 | 0.8406 | 0.7975 | 0.7613 |
| Subset num. | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
| SVM | 0.8953 | 0.814 | 0.8598 | 0.8345 | 0.8871 | 0.8693 | 0.8748 |
| ANN | 0.8865 | 0.764 | 0.8256 | 0.7661 | 0.7497 | 0.7811 | 0.7674 |
| Subset num. | 19 | 20 | 21 | 22 | 23 | 24 | 25 |
| SVM | 0.8194 | 0.8632 | 0.8385 | 0.8433 | 0.7886 | 0.7879 | 0.8549 |
| ANN | 0.7661 | 0.7462 | 0.7763 | 0.7654 | 0.8358 | 0.7531 | 0.7798 |
| Subset num. | 26 | 27 | 28 | 29 | 30 | ||
| SVM | 0.8296 | 0.8310 | 0.7968 | 0.8091 | 0.7393 | ||
| ANN | 0.7832 | 0.7558 | 0.71 | 0.8187 | 0.816 |