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Using Machine Learning Models to Predict Depression
  • Varun Pininty
Varun Pininty
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Abstract

Depression is a mood disorder that negatively affects performance in work and school and also ruins your social life and leads to risk taking behaviors that endangers peoples’ lives. Timely intervention and diagnosis can help identify and mitigate the effects of depression. In this study, I used a dataset formed by a survey to create multiple machine learning models in order to create a model that would accurately predict if someone had depression. Out of 4 different machine learning models I used, I was able to create a machine learning model using the Random Forest Classifier to achieve an accuracy of 90.48%.