Evaluate the model
As suggested by the response, Copilot recommends asking the following: What are some common metrics for evaluating regression models? Let’s select this and see what it says.
Evaluation metrics
Let’s ask Copilot about evaluation metrics.
[Prompt]
What are some common metrics for evaluating regression models?
[End of prompt]
You should receive a response similar to the response below:
[Prompt response]
There are several common metrics for evaluating the performance of regression models:
- Mean Absolute Error (MAE): This is the average of the absolute differences between the predicted and actual values. It gives an idea of how wrong the predictions were.
- Mean Squared Error (MSE): This is the average of the squared differences between the predicted and actual values. Squaring the differences amplifies the impact of large errors.
- Root Mean Squared Error (RMSE): This is the square root of the MSE...
