Machine Learning with Scikit-Learn Python | RMSE, MAE, RMSLE, adj R2 and more




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In this video, I’ve shown how to implement different evaluation metrics for regression analysis using Sci-kit Learn and StatsModel libraries. I have covered: RMSE, RMSLE, R-squared, adjusted R-squared, MAE, etc.
#scikitlearn #python #machinelearning

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Source code –
https://github.com/Suji04/NormalizedNerd/tree/master/Sklearn-Evaluation%20Metrics

Previous video od R-squared & adjusted R-squared –
https://youtu.be/Mo64VgUJOpA

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Comment List

  • Normalized Nerd
    December 4, 2020

    Hi, if i predict some sales data and have MAE 700.00 +. and RMSE around 1000, which evaluation should i use?

  • Normalized Nerd
    December 4, 2020

    when to use MAE,MSE,RMSE,R2and adj R2? When to use MAE, when to use RMSE and so on?

  • Normalized Nerd
    December 4, 2020

    hello i have a doubt sir

  • Normalized Nerd
    December 4, 2020

    Thanks You!

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