Mean Square Error (MSE) and Mean Absolute Error (MAE) – Regression

1.???? Mean Absolute Error (MAE) – It calculates mean of absolute difference between y and ybar. The equation is defined below

Let’s calculate MAE for an example

Observations:

a.???? Contribution of difference towards MAE is almost similar

b.???? Error contribution is almost uniform and hence similar penalization during penalization

c. Outliers have less affect


To be continued with Gradient Descent.....

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