In this video, we will learn about the performance evaluation metrics for the regression like RSE(Residual Standard Error) and R^2(Coefficient of Determination) for evaluating the performance of our machine learning model and we will also discuss about why R^2 is a better metric compared to RSE and I will explain each and everything using examples so we can visualize what we are learning.
🐱💻 🐱💻 Course Links:
Complete Code - https://github.com/The-Nerdy-Dev
Visual Studio Code - https://code.visualstudio.com
Git - https://git-scm.com/downloads
Support my channel:
💜 Join the Discord community 👨👩👧👦: https://discord.gg/fgbtN2a
💜 One time donations via PayPal
Thank you! 🙏
Follow me on:
👉 Twitter: https://twitter.com/The_Nerdy_Dev
👉 Instagram: https://instagram.com/thenerdydev
👉 My Blog: https://the-nerdy-dev.com
Oldest comments (0)