Model | FP, % | FN, % | Precision, % | Recall, % | Accuracy, % | F1, % | r |
---|---|---|---|---|---|---|---|
Linear regression | 80 | 3 | 81 | 97 | 80 | 89 | 0.29 |
Logistic regression | 81 | 3 | 81 | 97 | 79 | 88 | 0.25 |
Gradient-boosted tree | 39 | 5 | 90 | 95 | 88 | 92 | 0.62 |
XGBoost | 40 | 4 | 90 | 96 | 88 | 93 | 0.63 |
Deep neural network | 54 | 2 | 86 | 98 | 86 | 92 | 0.55 |
Bayesian NN | 87 | 2 | 80 | 98 | 80 | 88 | 0.23 |
RCM | 53 | 15 | 85 | 85 | 76 | 85 | 0.31 |