Model | FP, % | FN, % | Precision, % | Recall, % | Accuracy, % | F1, % | r |
---|---|---|---|---|---|---|---|
Linear regression | 90 | 1 | 84 | 99 | 83 | 91 | 0.20 |
Logistic regression | 88 | 2 | 84 | 98 | 83 | 91 | 0.21 |
Gradient-boosted tree | 49 | 3 | 90 | 97 | 89 | 93 | 0.56 |
XGBoost | 48 | 2 | 91 | 97 | 89.5 | 94 | 0.59 |
Deep neural network | 70 | 1 | 87 | 99 | 87 | 89.5 | 0.45 |
Bayesian NN | 96 | 0 | 83 | 100 | 83 | 83 | 0.11 |
RCM | 51 | 10 | 89 | 89 | 82 | 89 | 0.37 |