Table 2. Pavia University.
Classifier | PPV | FDR | FOR | LRN |
---|---|---|---|---|
5% Training Samples | ||||
FKNN | 0.80161 | 0.19838 | 0.02625 | 0.16163 |
PFKNN | 0.81328 | 0.18671 | 0.01236 | 0.14526 |
SVM | 0.87181 | 0.12818 | 0.01276 | 0.11241 |
PSVM | 0.93518 | 0.06481 | 0.00320 | 0.04772 |
10% Training Samples | ||||
FKNN | 0.83173 | 0.16826 | 0.02161 | 0.14281 |
PFKNN | 0.88934 | 0.11065 | 0.00642 | 0.08669 |
SVM | 0.89917 | 0.10082 | 0.01050 | 0.09875 |
PSVM | 0.96010 | 0.03989 | 0.00216 | 0.02670 |
15% Training Samples | ||||
FKNN | 0.82923 | 0.17076 | 0.02237 | 0.12797 |
PFKNN | 0.90929 | 0.09070 | 0.00512 | 0.05990 |
SVM | 0.90132 | 0.09867 | 0.00992 | 0.09650 |
PSVM | 0.96912 | 0.03087 | 0.00149 | 0.02035 |
20% Training Samples | ||||
FKNN | 0.83511 | 0.16488 | 0.02157 | 0.12634 |
PFKNN | 0.93043 | 0.06956 | 0.00396 | 0.03985 |
SVM | 0.90577 | 0.09422 | 0.00919 | 0.09067 |
PSVM | 0.97383 | 0.02616 | 0.00109 | 0.01718 |
25% Training Samples | ||||
FKNN | 0.84384 | 0.15615 | 0.02047 | 0.11798 |
PFKNN | 0.93864 | 0.06135 | 0.00349 | 0.03499 |
SVM | 0.91339 | 0.08660 | 0.00843 | 0.08203 |
PSVM | 0.97341 | 0.02658 | 0.00098 | 0.01803 |