Table 4.
Best model(classifier) selected |
Kernel Type |
Parameters |
Performance of best model (MCC) in the selected subset |
Mean MCC for parameters accoss three subsets |
CV for parameters accross three subsets |
---|---|---|---|---|---|
26a | polynomial | d = 2 c = 0.1 |
0.9019 | 0.89 | 3.24% |
470b | RBF | g = 0.01 c = 100 |
0.9044 | 0.8981 | 2.74% |
6c | polynomial | d = 1 c = 1 |
0.9044 | 0.8945 | 0.9% |