Which of the following metrics is commonly used to evaluate the performance of a
Practice Questions
Q1
Which of the following metrics is commonly used to evaluate the performance of a linear regression model?
Accuracy
F1 Score
Mean Squared Error (MSE)
Confusion Matrix
Questions & Step-by-Step Solutions
Which of the following metrics is commonly used to evaluate the performance of a linear regression model?
Step 1: Understand that a linear regression model predicts values based on input data.
Step 2: Know that we need a way to measure how well the model's predictions match the actual values.
Step 3: Learn about Mean Squared Error (MSE), which is a method to calculate this difference.
Step 4: MSE is calculated by taking the difference between each predicted value and the actual value, squaring that difference, and then averaging all those squared differences.
Step 5: The lower the MSE, the better the model's predictions are, indicating better performance.
