________ is a metric that measures the average magnitude of errors in a set of predictions, without considering their direction.
- Adjusted R-Squared
- MAE
- R-Squared
- RMSE
The Mean Absolute Error (MAE) is a metric that measures the average magnitude of errors without considering their direction. It calculates the average of the absolute differences between predicted and actual values. Unlike squared errors, it does not give more weight to larger errors, making it less sensitive to outliers. This property makes it a useful measure in various contexts.
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