Table 1.

Classification report of the classifiers in the “word delay” cognitive assessment task (scenario 1)

	Cross-validation accuracy (%)	Accuracy (on data split) (%)	Precision		f1-score	Sensitivity	Specificity
			Dementia	Normal
A. Scenario 1A: on the sample person’s responses
KNN	92.00	93.00	0.74	0.94	0.92	0.37	0.99
Decision Tree	91.00	92.00	0.55	0.94	0.91	0.37	0.97
Random forest	92.00	92.00	0.59	0.94	0.91	0.38	0.97
Artificial neural networks	92.00	93.00	0.72	0.94	0.92	0.37	0.99
B. Scenario 1B: on the proxy’s responses
KNN	72.00	69.00	0.47	0.71	0.62	0.11	0.94
Decision tree	72.00	69.00	0.50	0.71	0.62	0.10	0.96
Random forest	72.00	69.00	0.50	0.71	0.62	0.10	0.96
Artificial neural networks	72.00	69.00	0.00	0.69	0.57	0.00	1.00
C. Scenario 1C: on the sample person’s and proxy’s responses
KNN	77.00	78.00	0.96	0.70	0.77	0.60	0.97
Decision tree	77.00	78.00	0.96	0.69	0.77	0.59	0.97
Random forest	77.00	78.00	0.96	0.70	0.77	0.60	0.97
Artificial neural networks	77.00	78.00	0.96	0.70	0.77	0.60	0.97