Model Evaluation · Level 2 of 5
Mean Absolute Error
The average absolute difference between predictions and targets.
Unlike squared error, it increases linearly with error magnitude.
Example
Prediction errors of two and four produce an average absolute error of three.
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Audio transcript
Mean Absolute Error. The average absolute difference between predictions and targets. Unlike squared error, it increases linearly with error magnitude. For example: Prediction errors of two and four produce an average absolute error of three.
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This helps you ask what a reported score counts and which errors it can hide.
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