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?
  1. Accuracy
  2. F1 Score
  3. Mean Absolute Error
  4. 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.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely