Machine Learning for the Preliminary Diagnosis of Dementia

Table 2

The optimal model parameters.

Algorithm	Model parameters	Value
Random Forest	class_weight	Balanced
	max_depth	20
	n_estimators	20
	random_state	2018
AdaBoost	class_weight	Balanced
	base_estimator	Logistic regression
	Algorithm	SAMME
	n_estimators	10
	random_state	2018
LogitBoost	Classifier-maxDepth	RandomForest-5
MLP	hidden_layer_sizes	3
	random_state	2018