Table 6.

Comparison of different classifiers ($MS2$ test dataset; First Layer).

Classifier	Precision (%)			Recall (%)			MCA (%)	MCF (%)
	CN	MCI	AD	CN	MCI	AD
SVM	100.0	91.43	83.87	96.67	89.13	89.66	91.43	91.74
KNN	65.71	59.57	73.91	76.67	60.87	58.62	64.76	65.89
DT	100.0	86.54	96.30	86.67	97.83	89.66	92.38	92.81
NB	90.32	92.68	84.85	93.33	82.61	96.55	89.52	90.05
RF (our model)*	100.0	86.79	100.0	86.67	100.0	89.66	93.33	93.82

MCA: multiclass classification accuracy, MCF: multiclass F1 score; Asterisk ( ∗): is the model with the best predictive performance.