Table 2 AUC values of different algorithms under \(CV_d\) scenario
Method | NR | GPCR | IC | E |
|---|---|---|---|---|
BLM-NII [15] | 0.856292 (0.0077) | 0.836102 (0.0073) | 0.756714 (0.0102) | 0.815547 (0.0080) |
WKNKN [16] | 0.806684 (0.0289) | 0.810142 (0.0048) | 0.706933 (0.0079) | 0.766433 (0.0050) |
RLS-WNN [14] | 0.821758 (0.0273) | 0.839478 (0.0116) | 0.743888 (0.0113) | 0.762227 (0.0066) |
GRMF [31] | 0.820413 (0.0185) | 0.774848 (0.0082) | 0.742022 (0.0080) | 0.744108 (0.0240) |
WGRMF [31] | 0.856979 (0.0135) | 0.868548 (0.0065) | 0.785357 (0.0070) | 0.824591 (0.0071) |
CMF [29] | 0.802526 (0.0109) | 0.801118 (0.0069) | 0.758156 (0.0144) | 0.794486 (0.0109) |
SRCMF [33] | 0.810242 (0.0227) | 0.825318 (0.0093) | 0.736402 (0.0329) | 0.776464 (0.0214) |
MK-TCMF [34] | 0.838043 (0.0228) | 0.852802 (0.0158) | 0.811913 (0.0171) | 0.758621 (0.0092) |
iPALM-DLMF | 0.886132 (0.0184) | 0.87153 (0.0074) | 0.814679 (0.0150) | 0.834224 (0.0035) |