Table 4 Experimental results for accuracy, AUC, precision, recall and F1 score on experimental HF dataset
From: Treatment effect prediction with adversarial deep learning using electronic health records
Method | Accuracy (mean ± SD) | AUC (mean ± SD) | Precision (mean ± SD) | Recall (mean ± SD) | F1 score (mean ± SD) |
|---|---|---|---|---|---|
LR | 0.647 ± 0.030 | 0.682 ± 0.039 | 0.677 ± 0.022 | 0.836 ± 0.037 | 0.748 ± 0.021 |
SVM | 0.642 ± 0.034 | 0.633 ± 0.027 | 0.669 ± 0.018 | 0.849 ± 0.050 | 0.748 ± 0.028 |
DTEP | 0.624 ± 0.034 | 0.661 ± 0.038 | 0.679 ± 0.055 | 0.830 ± 0.149 | 0.721 ± 0.064 |
ADTEP | 0.654 ± 0.025 | 0.688 ± 0.040 | 0.680 ± 0.019 | 0.848 ± 0.034 | 0.754 ± 0.019 |