Table 3 AUPR values of different algorithms under \(CV_d\) scenario
Method | NR | GPCR | IC | E |
|---|---|---|---|---|
BLM-NII [15] | 0.455027 (0.0395) | 0.230746 (0.0118) | 0.198357 (0.0091) | 0.172086 (0.0068) |
WKNKN [16] | 0.496622 (0.0366) | 0.349695 (0.0096) | 0.268694 (0.0113) | 0.312078 (0.0121) |
RLS-WNN [14] | 0.528022 (0.0294) | 0.324815 (0.0149) | 0.235889 (0.0176) | 0.310967 (0.0232) |
GRMF [31] | 0.496592 (0.0252) | 0.349027 (0.0129) | 0.339622 (0.0124) | 0.339569 (0.0227) |
WGRMF [31] | 0.545559 (0.0252) | 0.410652 (0.0126) | 0.351595 (0.0223) | 0.397949 (0.0176) |
CMF [29] | 0.505449 (0.0299) | 0.282205 (0.0081) | 0.356396 (0.0227) | 0.358833 (0.0205) |
SRCMF [33] | 0.481308 (0.0273) | 0.394653 (0.0049) | 0.306309 (0.0116) | 0.367386 (0.0054) |
MK-TCMF [34] | 0.498415 (0.0097) | 0.382824 (0.009) | 0.392313 (0.0079) | 0.395368 (0.0044) |
iPALM-DLMF | 0.549245 (0.0137) | 0.392701 (0.0111) | 0.398948 (0.0269) | 0.399354 (0.0136) |