As with regression problems, which you saw in the previous chapter, with classification problems, you can start with an algorithm and train it with data. You can then score ideally with the test data and evaluate the performance of the model.

Navigate to the Train | Score | Evaluate option on the screen.

The Train, Score, and Evaluate modules are the same as you used for regression. The Train module requires the name of the target (class) variable. The Evaluate module generates evaluation metrics for classification.

If you want to tune parameters of an algorithm by parameter sweeping, you can use the same Sweep Parameters module.