Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges

Table 1

Evaluation metrics of ten classifiers in predicting the anxiety and depression among elderly patients.

Classifiers	Evaluation metrics (%)
	Accuracy	F-measure	AUC
Bayesian network	79.8	79.7	88.9
Naive Bayes	79.6	79.4	85.3
Logistic regression	72.4	72.2	81.1
Multiple layer perceptron	77.8	77.8	85.0
Sequential minimal optimisation	75.3	74.6	75.9
K-star	75.3	75.3	81.4
Random subspace	87.5	87.5	91.7
J48	87.8	87.8	86.0
Random forest	89.0	89.0	94.3
Random tree	85.1	85.1	85.0