Table 1 Performance comparison of MFSynDCP and competitive methods on fivefold cross validation
Methods | AUROC | AUPR | ACC | BACC | PREC | TPR | KAPPA |
|---|---|---|---|---|---|---|---|
Ours | \(0.930\pm 0.005\) | \(0.929\pm 0.005\) | \(0.855\pm 0.006\) | \(0.855\pm 0.006\) | \(0.867\pm 0.012\) | \(0.863\pm 0.004\) | \(0.709\pm 0.012\) |
MGAE-DC | \(0.922\pm 0.005\) | \(0.675\pm 0.010\) | \(0.851\pm 0.012\) | \(0.778\pm 0.005\) | \(0.723\pm 0.006\) | \(0.562\pm 0.003\) | \(0.603\pm 0.012\) |
SDCNet | \(0.921\pm 0.007\) | \(0.920\pm 0.005\) | \(0.846\pm 0.007\) | \(0.832\pm 0.005\) | \(0.871\pm 0.005\) | \(0.795\pm 0.002\) | \(0.678\pm 0.008\) |
DFFNDDS | \(0.912\pm 0.003\) | \(0.882\pm 0.005\) | \(0.821\pm 0.007\) | \(0.811\pm 0.003\) | \(0.821\pm 0.017\) | \(0.831\pm 0.013\) | \(0.661\pm 0.021\) |
XGBoost | \(0.921\pm 0.005\) | \(0.922\pm 0.005\) | \(0.844\pm 0.005\) | \(0.844\pm 0.005\) | \(0.843\pm 0.007\) | \(0.840\pm 0.002\) | \(0.688\pm 0.009\) |
PRODeepDyn | \(0.899\pm 0.005\) | \(0.922\pm 0.006\) | \(0.853\pm 0.007\) | \(0.853\pm 0.005\) | \(0.859\pm 0.007\) | \(0.856\pm 0.012\) | \(0.703\pm 0.003\) |
TranSynergy | \(0.896\pm 0.007\) | \(0.892\pm 0.006\) | \(0.827\pm 0.013\) | \(0.827\pm 0.013\) | \(0.842\pm 0.006\) | \(0.801\pm 0.003\) | \(0.642\pm 0.013\) |
DTF | \(0.892\pm 0.009\) | \(0.881\pm 0.008\) | \(0.814\pm 0.009\) | \(0.814\pm 0.009\) | \(0.822\pm 0.008\) | \(0.772\pm 0.031\) | \(0.633\pm 0.042\) |
DeepSynergy | \(0.881\pm 0.005\) | \(0.874\pm 0.009\) | \(0.803\pm 0.007\) | \(0.803\pm 0.007\) | \(0.814\pm 0.011\) | \(0.752\pm 0.009\) | \(0.591\pm 0.048\) |
GBM | \(0.852\pm 0.010\) | \(0.850\pm 0.007\) | \(0.772\pm 0.010\) | \(0.772\pm 0.010\) | \(0.773\pm 0.008\) | \(0.745\pm 0.014\) | \(0.544\pm 0.020\) |
Random Forest | \(0.861\pm 0.010\) | \(0.850\pm 0.014\) | \(0.783\pm 0.012\) | \(0.783\pm 0.012\) | \(0.794\pm 0.016\) | \(0.751\pm 0.022\) | \(0.566\pm 0.024\) |
Adaboost | \(0.828\pm 0.007\) | \(0.832\pm 0.010\) | \(0.743\pm 0.009\) | \(0.743\pm 0.009\) | \(0.746\pm 0.012\) | \(0.728\pm 0.006\) | \(0.486\pm 0.018\) |
MLP | \(0.652\pm 0.024\) | \(0.640\pm 0.033\) | \(0.557\pm 0.045\) | \(0.560\pm 0.043\) | \(0.531\pm 0.042\) | \(0.924\pm 0.134\) | \(0.119\pm 0.085\) |
SVM | \(0.586\pm 0.011\) | \(0.563\pm 0.011\) | \(0.542\pm 0.010\) | \(0.540\pm 0.010\) | \(0.534\pm 0.016\) | \(0.502\pm 0.067\) | \(0.081\pm 0.020\) |