Machine Learning for the Preliminary Diagnosis of Dementia

Table 3

Overall performance of the diagnostic models.

Algorithm	Accuracy	Precision	Recall	F-measure
Random Forest	0.86	0.85	0.86	0.85
AdaBoost	0.83	0.83	0.83	0.82
LogitBoost	0.81	0.81	0.81	0.80
MLP	0.87	0.87	0.87	0.87
Naive Bayes	0.87	0.88	0.87	0.87
SVM	0.87	0.86	0.87	0.86

Results were obtained by using all the 37 features.