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Table 2 Classification performance for different network architectures

From: Predicting enhancers with deep convolutional neural networks

Model AUROC AUPRC Epoch Time
gkmSVM 0.887 (0.004) 0.899 (0.004) 6 h (total)
4conv2pool 0.910 (0.004) 0.915 (0.004) 272 s
4conv2pool4norm 0.916 (0.004) 0.917 (0.003) 376 s
4conv 0.896 (0.005) 0.897 (0.005) 325 s
6conv3pool 0.898 (0.005) 0.898 (0.006) 251 s
6conv3pool6norm 0.911 (0.006) 0.909 (0.005) 415 s
  1. The conventional gkmSVM is used as the baseline for comparison. For each model, we carried out 10-fold cross validation experiments. This table records the mean value of AUC values with standard error behind in the brackets