Table 3.
Training Dataset |
Test Dataset |
AP10 | AP50 | CPM |
---|---|---|---|---|
LUNA16 | GNAH | 0.8590 (+0.0) | 0.5482 (+0.0) | 0.8886 (+0.0) |
KNUH | 0.9151 (+0.0) | 0.4499 (+0.0) | 0.9340 (+0.0) | |
HSHH | 0.7262 (+0.0) | 0.1111 (+0.0) | 0.7628 (+0.0) | |
GNAH | GNAH | 0.8674 (+0.0084) | 0.8160 (+0.2678) | 0.8967 (+0.0081) |
KNUH | 0.8548 (−0.0603) | 0.8228 (+0.3729) | 0.8844 (−0.0496) | |
HSHH | 0.7878 (+0.0616) | 0.6270 (+0.5159) | 0.8114 (+0.0486) | |
KNUH | GNAH | 0.8455 (−0.0135) | 0.7996 (+0.2514) | 0.8717 (−0.0169) |
KNUH | 0.9167 (+0.0016) | 0.8817 (+0.4318) | 0.9395 (+0.0055) | |
HSHH | 0.8307 (+0.1045) | 0.7729 (+0.6618) | 0.8561 (+0.0933) | |
GNAH KNUH | GNAH | 0.8960 (+0.0370) | 0.8450 (+0.2968) | 0.9290 (+0.0404) |
KNUH | 0.9525 (+0.0374) | 0.9341 (+0.4842) | 0.9660 (+0.0320) | |
HSHH | 0.8391 (+0.1129) | 0.7935 (+0.6824) | 0.8645 (+0.1017) |
AP, average precision; CPM, competition performance metric.