TABLE 4.
Comparative results of the proposed MKL method and existing traditional classifiers using AUC values under two mRMR selected integrated data models.
ECMP | ECMPS | |
RF | 0.7135 ± 0.054 | 0.7916 ± 0.027 |
SVM | 0.8325 ± 0.037 | 0.9086 ± 0.058 |
MKL | 0.8578 ± 0.049 | 0.9421 ± 0.028 |