Table 4 AUC values of different algorithms under \(CV_t\) scenario
Method | NR | GPCR | IC | E |
|---|---|---|---|---|
BLM-NII [15] | 0.795604 (0.0217) | 0.856269 (0.0071) | 0.930531 (0.0029) | 0.917814 (0.0056) |
WKNKN [16] | 0.700475 (0.0430) | 0.835764 (0.0217) | 0.922583 (0.0079) | 0.916965 (0.0042) |
RLS-WNN [14] | 0.763799 (0.0208) | 0.884184 (0.0128) | 0.941532 (0.0031) | 0.926638 (0.0053) |
GRMF [31] | 0.753382 (0.0293) | 0.876011 (0.0063) | 0.920496 (0.0060) | 0.920224 (0.0074) |
WGRMF [31] | 0.749512 (0.0384) | 0.883883 (0.0083) | 0.945641 (0.0024) | 0.933971 (0.0161) |
CMF [29] | 0.75651 (0.0520) | 0.855621 (0.0164) | 0.924479 (0.0051) | 0.924598 (0.0161) |
SRCMF [33] | 0.614843 (0.0333) | 0.840992 (0.0127) | 0.926765 (0.0049) | 0.913015 (0.0082) |
MK-TCMF [34] | 0.650609 (0.0238) | 0.797212 (0.0164) | 0.929812 (0.0165) | 0.930681 (0.0092) |
iPALM-DLMF | 0.797695 (0.0214) | 0.886124 (0.0218) | 0.948157 (0.0069) | 0.938395 (0.0048) |