Table 6 AUC values of different algorithms under \(CV_d\) scenario
Method | NR | GPCR | IC | E |
|---|---|---|---|---|
iPALM-DLMF | 0.886132 (0.0184) | 0.87153 (0.0074) | 0.814679 (0.0150) | 0.834224 (0.0035) |
iPALM-DLMF (without NNDSVD) | 0.880843 (0.0264) | 0.855862 (0.0074) | 0.825428 (0.0167) | 0.817143 (0.0085) |
iPALM-DLMF ( \(\lambda _d\)=0) | 0.620998 (0.0543) | 0.639598 (0.0268) | 0.592975 (0.0140) | 0.547534 (0.0098) |
iPALM-DLMF ( \(\lambda _t\)=0) | 0.831302 (0.0180) | 0.844522 (0.0048) | 0.815958 (0.0140) | 0.805771 (0.0049) |
iPALM-DLMF ( \(\lambda _l\)=0) | 0.859537 (0.0099) | 0.853745 (0.0094) | 0.811177 (0.0104) | 0.824733 (0.0111) |
PALM-DLMF | 0.852378 (0.0262) | 0.865187 (0.0072) | 0.805869 (0.0062) | 0.81903 (0.0031) |