Table 2 Experimental results for accuracy, AUC, precision, recall and F1 score on ACS experimental 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 | 0.744 ± 0.016 | 0.648 ± 0.026 | 0.505 ± 0.078 | 0.198 ± 0.034 | 0.284 ± 0.044 |
SVM | 0.716 ± 0.010 | 0.621 ± 0.014 | 0.402 ± 0.032 | 0.219 ± 0.026 | 0.283 ± 0.027 |
DTEP | 0.747 ± 0.010 | 0.653 ± 0.021 | 0.524 ± 0.056 | 0.181 ± 0.025 | 0.268 ± 0.031 |
ADTEP | 0.746 ± 0.012 | 0.662 ± 0.020 | 0.515 ± 0.058 | 0.210 ± 0.036 | 0.297 ± 0.042 |