Table 4 Comparison of different classification algorithms in both men and women to predict healthy individuals, and individuals with osteopenia and OP.

	Models	AUROC	Accuracy	Precision	Sensitivity	specificity	F-score
Men	DT	0.84	0.81	0.89	0.70	0.86	0.71
	RF	0.91	0.85	0.92	0.76	0.89	0.79
	KNN	0.86	0.73	0.71	0.70	0.83	0.69
	SVM	0.84	0.74	0.83	0.64	0.82	0.65
	GB	0.89	0.83	0.90	0.75	0.88	0.77
	ET	0.88	0.80	0.88	0.70	0.86	0.73
	AB	0.84	0.81	0.89	0.70	0.86	0.71
	ANN	0.90	0.73	0.77	0.64	0.81	0.65
Women	DT	0.91	0.91	0.93	0.87	0.93	0.90
	RF	0.93	0.92	0.91	0.90	0.95	0.91
	KNN	0.87	0.79	0.80	0.76	0.86	0.77
	SVM	0.86	0.82	0.83	0.77	0.87	0.79
	GB	0.95	0.93	0.93	0.91	0.95	0.92
	ET	0.94	0.91	0.93	0.87	0.93	0.90
	AB	0.87	0.91	0.93	0.87	0.93	0.90
	ANN	0.84	0.75	0.74	0.75	0.82	0.76

Quick links

Search