Table 5.

Prediction and validation results of Healthy controls, Phenotype I and Phenotype II patients. Notably, this table was generated ‘post-hoc’ – after the unsupervised machine learning step.

Feature domain	Group	Acc	Sens	Spec	PPV	NPV	P	AUC
Cognition	(PH1, PH2)	0.9429	0.9211	0.9688	0.9722	0.9118	< 0.0001	0.9449
	(HC, PH1)	0.8553	0.8158	0.894	0.8857	0.8293	< 0.0001	0.8553
	(HC, PH2)	0.7969	0.7500	0.8438	0.8276	0.7714	< 0.0001	0.7969
FA	(PH1, PH2)	0.7593	0.7600	0.7586	0.7308	0.7857	0.0001	0.7593
	(HC, PH1)	0.5714	0.5517	0.5926	0.5926	0.5517	0.2802	0.5722
	(HC, PH2)	0.9231	0.8800	0.9630	0.9565	0.8966	< 0.0001	0.9215
MD	(PH1, PH2)	0.6481	0.6800	0.6207	0.6071	0.6923	0.0275	0.6503
	(HC, PH1)	0.5714	0.5517	0.5926	0.5926	0.5517	0.2802	0.5722
	(HC, PH2)	0.8654	0.8800	0.8519	0.8462	0.8846	< 0.0001	0.8659

FA- fractional anisotropy, MD- mean diffusivity, HC- healthy controls, PH1- Phenotype I, PH2- Phenotype II, Acc- Accuracy, Sens- Sensitivity, Spec- Specificity, PPV- Positive predictive values, NPV- Negative predictive values, AUC- Area under curve.