After calculating Mean Square Error (MSE) and Mean Absolute Error (MAE) for a linear model, we observe that the value of MSE is much larger than the value of MAE. What are the possible reasons? C. The...

After calculating Mean Square Error (MSE) and Mean Absolute Error (MAE) for a linear model, we<br>observe that the value of MSE is much larger than the value of MAE. What are the possible reasons?<br>C. The data is not linear<br>B. There are outliers in the dataset<br>A. MAE is in y unit but MSE is squared<br>Both A and B<br>

Extracted text: After calculating Mean Square Error (MSE) and Mean Absolute Error (MAE) for a linear model, we observe that the value of MSE is much larger than the value of MAE. What are the possible reasons? C. The data is not linear B. There are outliers in the dataset A. MAE is in y unit but MSE is squared Both A and B

Jun 09, 2022

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After calculating Mean Square Error (MSE) and Mean Absolute Error (MAE) for a linear model, we observe that the value of MSE is much larger than the value of MAE. What are the possible reasons? C. The...

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