Table 2 Prediction performance (F1-score and accuracy) of the different machine learning models over 50 iterations
Models | F1-Score | Accuracy | ||
|---|---|---|---|---|
Average | Standard Deviation | Average | Standard Deviation | |
XGBoost | 90.54% | 7.21% | 86.00% | 8.67% |
Random Forest | 89.15% | 7.80% | 83.00% | 10.76% |
Support Vector Machine | 85.20% | 7.41% | 77.47% | 12.07% |
Artificial Neural Network | 83.39% | 9.47% | 78.13% | 10.75% |
Decision Tree | 83.35% | 9.29% | 78.40% | 10.55% |