Table 2 Comparison of the performance of nine machine learning methods.
Machine learning methods | Area under the curve | Sensitivity | Specificity |
|---|---|---|---|
Random Forest | 0.953 | 1.000 | 0.864 |
Gradient Boosting Decision Trees | 0.974 | 1.000 | 0.915 |
XGBoost | 0.957 | 0.980 | 0.881 |
LightGBM | 0.966 | 1.000 | 0.898 |
Naive Bayes Classifier | 0.963 | 1.000 | 0.915 |
Support Vector Machine | 0.972 | 0.980 | 0.915 |
Logistic Classifier | 0.973 | 1.000 | 0.881 |
Decision Trees | 0.957 | 0.939 | 0.915 |
Neural Networks | 0.967 | 1.000 | 0.864 |
