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Now I understand the interpretations of the Regression evaluation metrics better.
I learned about Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE), R-squared (R^2), and Mean Absolute Percentage Error(MAPE).
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AMAAAR TU TO FAIL HAI
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babu ammar i want to tell u that To make the right regression model we need to find the different values from these metrics (1) MAE - Mean Absolute Error (2) MSE - Mean Squared Error (3) RMSE - Root Mean Squared Error (4) R^2 - R-Squared Error (5) AdjR62 - Adjusted R-Squared Error (6) ME - Mean Error (6) MAPE - Mean Absolute Percentage Error.
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kia hai
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ammat babu
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hello zohaib
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i enjoy watching amaar baba
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done, good lecture keep it up, best course, watching from Pakistan
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![](https://codanics.com/wp-content/uploads/2024/04/IMG_20240410_175137-1-scaled.jpg)
Done
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Done
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