Table 8.
Results of experiment 4 data set I: classification of endometrial disease patients using multiple kernels derived from clinical data
| Classifier | Mean - error of AUC | Std. - error of AUC | pvalue |
|---|---|---|---|
| LSSVM L∞ (0.5) MKL | 0.2353 | 0.0133 | - |
| SVM L∞ (0.5) MKL | 0.2388 | 0.0178 | 0.4369 |
| SVM L∞ MKL | 0.2417 | 0.0165 | 0.2483 |
| LSSVM L2 MKL | 0.2456 | 0.0124 | 0.0363 |
| SVM L2 MKL | 0.2489 | 0.0178 | 0.0130 |
| SVM L1 MKL | 0.2513 | 0.0144 | 0.0057 |
| LSSVM L1 MKL | 0.2574 | 0.0189 | 9.98 · 10-5 |
| LSSVM L∞ MKL | 0.2678 | 0.0130 | 1.53 · 10-6 |
Results of experiment 4 data set I: classification of endometrial disease 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.