Regression Metrics | MSE, MAE & RMSE | R2 Score & Adjusted R2 Score
Channel: CampusX
Date: 2021-05-13

Understand key metrics for evaluating regression models in this video. We cover Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R2 Score, and Adjusted R2 Score. Learn how these metrics help assess the accuracy and performance of your regression models.

Code Used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day49-regression-metrics

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⌚Time Stamps⌚

00:00 - Intro
01:32 - MAE(Mean Absolute Error) 
07:41 - MSE(Mean squared Error)
12:29 - RSME(Root Mean Squared Error)
15:52 - R2 SCORE
27:06 - Adjusted R2 SCORE
33:41 - Code for the above Matrix