About this document
U4 Int395 by rr8303804 is a document available to read on EtoBox.
The document provides an overview of regression in supervised machine learning, detailing its purpose in predicting continuous outputs and various techniques such as linear regression, polynomial regression, and regularized regression. It discusses evaluation metrics like Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R² Score for assessing model performance. Additionally, it covers advanced methods like Support Vector Regression and Random Forest Regression, highli
- Author
- rr8303804
- Language
- EN