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. 2023 Jul 17;13(14):2391. doi: 10.3390/diagnostics13142391

Table 1.

Comparison of five machine learning models.

Model Accuracy F1-Score Precision Sensitivity Specificity
XGBoost 1.0 1.0 1.0 1.0 1.0
SVM 0.953 0.953 0.953 0.953 0.975
Random Forest 0.953 0.960 0.976 0.953 0.951
CatBoost 0.930 0.943 0.972 0.930 0.926
LightGBM 0.953 0.930 0.909 0.953 1.0