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Regression Metrics Python

Statistical estimators used in regression or optimization problems. Implemented metrics:

  • RSS (Residual Sum of Squares):

  • MSE (Mean Squared Error):

  • MSPE (Mean Squared Percentage Error):

  • RMSE (Root-Mean-Square Error):

  • RMSPE (Root-Mean-Square Percentage Error):

  • MAE (Mean Absolute Error):

  • MAPE (Mean Absolute Percentage Error):

  • RSE (Relative Squared Error):

  • RAE (Relative Absolute Error):

  • R2 (Coefficient of determination):

Where is the actual value, is the forecasted value, and are the average of the variable and the number of samples, respectively.

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Metrics used in Regression Problems

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