Table 3. Performance metrics of algorithms.
Algorithms | Accuracy | Precision | Recall | Specificity | ROC AUC | Average Precision |
---|---|---|---|---|---|---|
Bagged Decision Trees | 86.2% | 69.2% | 70.6% | 90.8% | 92.6% | 0.81 |
Random Forest | 80.8% | 54.7% | 92.2% | 77.5% | 90.2% | 0.73 |
Extra Trees | 72.8% | 44.7% | 82.4% | 69.9% | 86.0% | 0.69 |
AdaBoost | 84.4% | 65.4% | 66.7% | 89.6% | 85.7% | 0.71 |
Gradient Boosting | 82.6% | 59.7% | 72.5% | 85.5% | 88.5% | 0.70 |
NN MLP | 90.2% | 62.5% | 20.8% | 98.5% | 84.6% | 0.44 |