About this document
Machine Learning for Anxiety Prediction by harshit.saraf2426p is a document available to read on EtoBox.
This case study focuses on predicting anxiety severity using machine learning by analyzing various lifestyle factors such as sleep patterns and substance consumption. Students are tasked with developing a model to classify anxiety severity as high or low based on a dataset that includes demographic and behavioral variables. The evaluation criteria emphasize data preparation, model selection justification, and interpretation of results.
- Author
- harshit.saraf2426p
- Language
- EN