A tutorial-style benchmark showing that standard classifiers reach binary F1 0.93 to 0.96 and multiclass F1 0.75 to 0.78 on a Kaggle mental-health text dataset, with no new method or result introduced.
(2001).Random forests(Vol
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Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
A tutorial-style benchmark showing that standard classifiers reach binary F1 0.93 to 0.96 and multiclass F1 0.75 to 0.78 on a Kaggle mental-health text dataset, with no new method or result introduced.