I am using regression model to predict values I have. How can evaluate the accuracy of prediction model (I'd like to see how the accuracy of predicted values).
I found different metrics, but it's only used with discrete data.
- Classification report
- Accuracy score
- Confusion matrix
Now, I can generate the summary using .summary() function. As an example here , it's nearly the same in R/Python;
I'd like to evaluate the performance, how good and accurate the predicted values that I got using GLM (with Binomial families ).