Table 1.

Summary of the performances of SHASI-ML.

Model	TP	TN	FP	FN	Recall	Specificity	Accuracy	Precision	F1 Score
XGBoost	54	55	9	10	0.84	0.86	0.85	0.86	0.84

The metrics include True Positives (TP), True Negatives (TN), False Positives (FP), False Negatives (FN), Recall, Specificity, Accuracy, Precision, and F1 Score, as evaluated using the XGBoost (Extreme Gradient Boosting) model.