From: Enhancing SVM for survival data using local invariances and weighting
 | 10% censoring | 30% censoring | ||||||||||||
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Method | Accuracy | Matthews | NMI | AUC-ROC | Sn | Sp | F1 | Accuracy | Matthews | NMI | AUC-ROC | Sn | Sp | F1 |
Cox model | 0.71 (0.02) | 0.39 (0.05) | 0.10 (0.03) | 0.77 (0.03) | 0.35 (0.03) | 0.69 (0.02) | 0.4 (0.04) | 0.70 (0.03) | 0.39 (0.06) | 0.10 (0.04) | 0.77 (0.03) | 0.35 (0.03) | 0.66 (0.02) | 0.4 (0.04) |
Kernel Cox | 0.67 (0.02) | 0.33 (0.05) | 0.10 (0.04) | 0.71 (0.03) | 0.25 (0.05) | 0.88 (0.02) | 0.30 (0.08) | 0.67 (0.03) | 0.32 (0.06) | 0.08 (0.04) | 0.70 (0.03) | 0.22 (0.05) | 0.83 (0.02) | 0.29 (0.08) |
wSVM-KM | 0.65 (0.02) | 0.24 (0.05) | 0.01 (0.02) | 0.71 (0.03) | 0.16 (0.05) | 0.94 (0.02) | 0.26 (0.08) | 0.61 (0.02) | 0.16 (0.06) | 0.01 (0.02) | 0.71 (0.03) | 0.16 (0.05) | 0.94 (0.02) | 0.26 (0.08) |
wSVM-Prop | 0.64 (0.02) | 0.24 (0.05) | 0.01 (0.02) | 0.70 (0.03) | 0.16 (0.06) | 0.94 (0.02) | 0.26 (0.08) | 0.61 (0.02) | 0.17 (0.07) | 0.01 (0.02) | 0.70 (0.03) | 0.13 (0.06) | 0.92 (0.02) | 0.22 (0.08) |
pSVM-linear-KM | 0.72 (0.03) | 0.39 (0.05) | 0.13 (0.04) | 0.77 (0.03) | 0.65 (0.03) | 0.69 (0.03) | 0.63 (0.03) | 0.69 (0.03) | 0.37 (0.05) | 0.13 (0.03) | 0.75 (0.03) | 0.60 (0.03) | 0.69 (0.03) | 0.60 (0.03) |
pSVM-linear-prop | 0.70 (0.03) | 0.38 (0.05) | 0.13 (0.03) | 0.76 (0.03) | 0.60 (0.03) | 0.66 (0.04) | 0.60 (0.03) | 0.69 (0.03) | 0.37 (0.05) | 0.13 (0.03) | 0.75 (0.03) | 0.62 (0.03) | 0.66 (0.04) | 0.60 (0.03) |
pSVM-radial-KM | 0.66 (0.02) | 0.28 (0.05) | 0.03 (0.03) | 0.70 (0.03) | 0.50 (0.01) | 0.78 (0.09) | 0.53 (0.09) | 0.66 (0.03) | 0.31 (0.07) | 0.10 (0.04) | 0.70 (0.03) | 0.50 (0.01) | 0.78 (0.09) | 0.53 (0.09) |
pSVM-radial-prop | 0.66 (0.02) | 0.28 (0.05) | 0.03 (0.03) | 0.70 (0.03) | 0.46 (0.02) | 0.75 (0.01) | 0.50 (0.09) | 0.66 (0.03) | 0.31 (0.07) | 0.08 (0.05) | 0.70 (0.03) | 0.44 (0.02) | 0.75 (0.01) | 0.50 (0.09) |
LUPI-linear-KM | 0.65 (0.02) | 0.27 (0.05) | 0.03 (0.03) | 0.70 (0.03) | 0.61 (0.08) | 0.66 (0.06) | 0.60 (0.04) | 0.65 (0.03) | 0.31 (0.05) | 0.13 (0.05) | 0.70 (0.03) | 0.61 (0.08) | 0.66 (0.06) | 0.60 (0.04) |
LUPI-linear-prop | 0.65 (0.02) | 0.27 (0.05) | 0.03 (0.03) | 0.70 (0.03) | 0.61 (0.08) | 0.65 (0.06) | 0.59 (0.04) | 0.65 (0.03) | 0.31 (0.05) | 0.13 (0.05) | 0.70 (0.03) | 0.60 (0.08) | 0.65 (0.06) | 0.58 (0.04) |
inSVM-gradient | 0.70 (0.02) | 0.38 (0.05) | 0.11 (0.03) | 0.76 (0.02) | 0.68 (0.04) | 0.69 (0.03) | 0.67 (0.03) | 0.67 (0.03) | 0.33 (0.06) | 0.11 (0.03) | 0.72 (0.03) | 0.67 (0.04) | 0.69 (0.03) | 0.67 (0.03) |
inSVM-averaging | 0.70 (0.02) | 0.38 (0.05) | 0.11 (0.03) | 0.76 (0.02) | 0.69 (0.04) | 0.69 (0.03) | 0.65 (0.03) | 0.69 (0.03) | 0.37 (0.05) | 0.13 (0.03) | 0.76 (0.03) | 0.69 (0.04) | 0.68 (0.03) | 0.65 (0.03) |