Table 1. Studies with ML classification algorithms for distinguishing ASD and ADHD groups described in subsection 1.2.

Studies	Dataset type	ML algorithm	Classification type	Correlation metric	AUC	Accuracy	Recall	Precision
[17]	research records survey	SVM, Ridge Regression, LASSO, and LDA	Binary (ASD and ADHD)	-	-	0.962–0.965	-	-
[18]	research records survey	LDA and ENet	Binary (ASD and ADHD)	-	0.890	-	-	-
[25]	research records survey	SVM	Binary (ASD and ADHD)	-	0.910	-	0.680	-
[26]	MRI	GPC	Multiclass (ASD, ADHD and TD)	-	-	0.682	-	-
[30]	fMRI	SVM	Multiclass (ASD, ADHD and TD)	Pearson correlation	-	0.66	0.82	0.59