Question: Which metric would you use to evaluate a regression model\'s performance?
Options:
Accuracy
F1 Score
Mean Absolute Error
Confusion Matrix
Correct Answer: Mean Absolute Error
Solution:
Mean Absolute Error (MAE) is commonly used to evaluate the performance of regression models.
Which metric would you use to evaluate a regression model's performance?
Practice Questions
Q1
Which metric would you use to evaluate a regression model's performance?
Accuracy
F1 Score
Mean Absolute Error
Confusion Matrix
Questions & Step-by-Step Solutions
Which metric would you use to evaluate a regression model's performance?
Step 1: Understand that a regression model predicts continuous values, like prices or temperatures.
Step 2: Know that to evaluate how well the model is performing, we need a metric.
Step 3: Learn about Mean Absolute Error (MAE), which measures the average difference between predicted values and actual values.
Step 4: Calculate MAE by taking the absolute differences between predicted and actual values, summing them up, and dividing by the number of predictions.
Step 5: Use the MAE value to assess the model's accuracy; a lower MAE indicates better performance.
No concepts available.
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