Linear Regression – Evaluation Metrices Table Of Contents: Mean Absolute Error. Mean Squared Error. Root Mean Squared Error. R –  Squared Error Adjusted R – Squared Error. (1) Mean Absolute Error. Mean Absolute Error calculates the average difference between the calculated values and actual values. It is also known as scale-dependent accuracy as it calculates error in observations taken on the same scale. MAE provides a straightforward measure of the model’s accuracy, as it represents the average magnitude of errors without considering their direction. Formula: Example: To calculate the MAE, we follow these steps: Calculate the absolute differences between the

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