Prior Dummy Classifier

The prior dummy classifier always returns the most frequent class label from the training data. It's prediction probabilities match the class distribution of the training data.

Advantages:

• Easily explainable.
• Fast to train.
• Provides a reference with which to compare other models.

Disadvantages:

• Ignores all feature information.
• Poor performance.