How do I calculate the error rate in my model?

How do I calculate the error rate in my model?

To calculate the error rate, you can use the formula: Error Rate = (Number of Errors / Total Predictions) * 100.

What counts as an error in this context?

An error is typically a misclassification or incorrect prediction made by your model.

Can you give me an example of how to apply this formula?

Sure! If your model made 10 incorrect predictions out of 100 total predictions, the error rate would be (10/100) * 100 = 10%.

Is a lower error rate always better?

Generally, yes! A lower error rate indicates better model performance, but it's also important to consider other metrics.