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Which evaluation metric is most appropriate for a regression model?
Practice Questions
Q1
Which evaluation metric is most appropriate for a regression model?
Accuracy
F1 Score
Mean Absolute Error
Confusion Matrix
Questions & Step-by-Step Solutions
Which evaluation metric is most appropriate for a regression model?
Steps
Concepts
Step 1: Understand that a regression model predicts continuous values, like prices or temperatures.
Step 2: Learn that evaluation metrics help us measure how well the model is performing.
Step 3: Know that Mean Absolute Error (MAE) is one way to measure performance.
Step 4: Realize that MAE calculates the average of the absolute differences between predicted values and actual values.
Step 5: Conclude that a lower MAE indicates a better-performing regression model.
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