Single classifier vs. ensemble machine learning approaches for mental health prediction
Single classifier vs. ensemble machine learning approaches for mental health prediction is a scholarly work by Jason Teo, published in 2023 in ''Brain informatics''. The main subjects of the publication include gradient boosting, extreme learning machine, Network analysis, support vector machine, artificial intelligence, random forest, classifier, ensemble learning, boosting, logistic regression model, deep learning, mental health, machine learning, artificial neural network, and computer science. As such, this study aims to empirically evaluate several popular machine learning algorithms in classifying and predicting mental health problems based on a given data set, both from a single classifier approach as well as an ensemble machine learning approach.