Table 10. Average AUC for each data set and algorithm over all p-value thresholds.
AUC | BD | CAD | CD | HT | RA | T1D | T2D |
---|---|---|---|---|---|---|---|
RBF | 0.5464 | 0.5692 | 0.5944 | 0.5292 | 0.7041 | 0.8405 | 0.5728 |
Lin | 0.5453 | 0.5672 | 0.5911 | 0.5283 | 0.6983 | 0.8331 | 0.5693 |
MLP | 0.5449 | 0.5659 | 0.5922 | 0.5263 | 0.6997 | 0.8357 | 0.5673 |
RF | 0.5457 | 0.5629 | 0.5925 | 0.5255 | 0.6900 | 0.8360 | 0.5646 |
KNN | 0.5377 | 0.5583 | 0.5921 | 0.5215 | 0.6834 | 0.7904 | 0.5583 |
DT | 0.5253 | 0.5447 | 0.5495 | 0.5100 | 0.6173 | 0.7840 | 0.5461 |
LVQ | 0.5227 | 0.5314 | 0.5436 | 0.5172 | 0.6222 | 0.7020 | 0.5272 |
Avg | 0.5383 | 0.5571 | 0.5793 | 0.5226 | 0.6736 | 0.8031 | 0.5579 |
All values are AUCs averaged over all p-value thresholds for each data set and algorithm. The last row shows the average AUC for each data set over all p-value thresholds and algorithms.