From: A categorical network approach for discovering differentially expressed regulations in cancer
 | ACC |  |  |  | AUC |  | ||
---|---|---|---|---|---|---|---|---|
datasets | BNKL | SVM | LAS | PC | BNKL | SVM | LAS | PC |
BRS1, BRS2 | 0.62 | 0.53 | 0.55 | 0.52 | 0.68 | 0.60 | 0.66 | 0.61 |
BER1, BER2 | 0.79 | 0.71 | 0.75 | 0.63 | 0.89 | 0.82 | 0.90 | 0.87 |
BER2, BER3 | 0.83 | 0.69 | 0.80 | 0.72 | 0.89 | 0.77 | 0.89 | 0.89 |
BER3, BER4 | 0.83 | 0.67 | 0.78 | 0.60 | 0.90 | 0.73 | 0.90 | 0.85 |
BER1, BER3 | 0.74 | 0.64 | 0.71 | 0.60 | 0.86 | 0.74 | 0.88 | 0.82 |
BER1, BER4 | 0.76 | 0.67 | 0.79 | 0.59 | 0.89 | 0.81 | 0.93 | 0.85 |
BER2, BER4 | 0.88 | 0.85 | 0.86 | 0.76 | 0.91 | 0.90 | 0.92 | 0.90 |
LNG1, LNG2 | 0.83 | 0.73 | 0.78 | 0.51 | 0.96 | 0.88 | 0.90 | 0.95 |
LNG1, LNG3 | 0.89 | 0.87 | 0.85 | 0.70 | 0.97 | 0.94 | 0.91 | 0.94 |
LNG2, LNG3 | 0.85 | 0.75 | 0.71 | 0.60 | 0.98 | 0.90 | 0.79 | 0.98 |
GST1, GST2 | 0.84 | 0.82 | 0.77 | 0.81 | 0.88 | 0.87 | 0.80 | 0.87 |
GST3, GST2 | 0.78 | 0.69 | 0.77 | 0.66 | 0.90 | 0.79 | 0.87 | 0.86 |
GST1, GST3 | 0.78 | 0.74 | 0.72 | 0.74 | 0.92 | 0.89 | 0.85 | 0.85 |
KDN1, KDN2 | 0.90 | 0.52 | 0.77 | 0.81 | 1.00 | 0.71 | 0.99 | 0.99 |
KDN1, KDN3 | 0.93 | 0.69 | 0.80 | 0.78 | 0.94 | 0.95 | 1.00 | 0.99 |
KDN3, KDN2 | 0.93 | 1.00 | 0.98 | 0.70 | 0.96 | 1.00 | 1.00 | 1.00 |
Average | 0.82 | 0.72 | 0.77 | 0.67 | 0.91 | 0.83 | 0.89 | 0.89 |
Ranks | 61 | 35 | 42 | 22 | 52 | 28 | 42 | 39 |