Table 10.
Results of experiment 4 data set III: classification of PUL patients using multiple kernels derived from clinical data
| Classifier | Mean - error of AUC | Std. - error of AUC | pvalue |
|---|---|---|---|
| Weighted LSSVM L2 MKL | 0.1165 | 0.0100 | - |
| Weighted LSSVM L1 MKL | 0.1243 | 0.0171 | 0.0519 |
| Weighted LSSVM L∞ (0.5) MKL | 0.1290 | 0.0206 | 0.0169 |
| Weighted SVM L2 MKL | 0.1499 | 0.0248 | 4.79 · 10-5 |
| Weighted SVM L∞ MKL | 0.1552 | 0.0210 | 1.02 · 10-6 |
| Weighted SVM L∞ (0.5) | 0.1551 | 0.0153 | 3.87 · 10-6 |
| Weighted SVM L1 MKL | 0.1594 | 0.0162 | 2.29 · 10-9 |
| Weighted LSSVM L∞ MKL | 0.1651 | 0.0174 | 4.41 · 10-10 |
Results of experiment 4 data set II: classification of PUL patients using multiple kernels derived from clinical data. The classifier with the best performance is shown in bold. The p-values are compared with the best performance using a paired t-test. The performance of classifiers is sorted from high to low according to the p-values.