8 metrics you can't do without in regression

If you build models to predict numbers, whether prices, demand or temperature etc, here is a basic set of metrics you should know by heart: MSE, MAE, RMSE, MAPE, R², Weighted MAPE, Symmetric MAPE, and RMSLE.

Each one shows in its own way how far your predictions are from reality. Some are sensitive to outliers, others to scale, and some normalize the error so you can compare different models.

A handy cheat sheet to quickly recall formulas and not get confused about which metric is appropriate when.

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