Classifier | MR |
---|
KIGP(PK) | 0.166 |
KIGP(GK) | 0.129 |
KIGP(LK) | 0.198 |
BagBoost | 0.161 |
Boosting | 0.191 |
RF | 0.149 |
SVM | 0.151 |
PAM | 0.119 |
DLDA | 0.129 |
kNN | 0.164 |
- For the KIGP with each of the three different kernel types (PK, GK, LK), we took 5 independent rigorous 3-fold CVs to 62 samples (each CV involves all 3 phases of an KIGP) and reported the average MR. For the 7 referred classifiers, the results and the experimental details were originally reported by[16].
- RF: "Random Forests"
- PAM: "Nearest shrunken centroids"
- DLDA: "diagonal linear discriminant analysis"