Mental Fitness Tracker employed a range of regression models like Linear, SVM, Decision Tree, and Random Forest to analyze dataset patterns and make health predictions By evaluating model performance using metrics such as Mean Square Error and R-Square Score, it offered valuable insights into their accuracy and effectiveness in capturing data.
Mental Fitness Tracker employed a range of regression models like Linear, SVM, Decision Tree, and Random Forest to analyze dataset patterns and make health predictions By evaluating model performance using metrics such as Mean Square Error and R-Square Score, it offered valuable insights into their accuracy and effectiveness in capturing data.