Table 4.

Comparison between the proposed and existing models.

Ref.	Par.	Scoring Techniques	Classifier	Performance Measure
				AUC	${\mathit{S}}_{\mathit{n}}$	${\mathit{S}}_{\mathit{p}}$	Acc.
[37]	4184	HADS, PHQ	XGBoost	0.73	0.66	0.7
[69]	887	NESDA	RF	0.67	0.62	0.63
[70]	200	PSWQ, HDRS, YMRS, CGI-S	SVM	0.82	0.75	0.71
			RF	0.82	0.76	0.71
			ANN	0.81	0.76	0.72
[71]	154	STAI, MASQ-D, HDRS, HAM-A	Pattern regression				0.58
[72]	90	CAQ. HADS	RF				0.64
Proposed	66	SAS	RF	0.82	0.80	0.73	0.80
			DT	0.80	0.79	0.77	0.79
			AB	0.70	0.72	0.68	0.72