Skip to main content

Stratified Dummy Classifier

The stratified dummy classifier makes predictions by sampling from the distribution of the training class labels.

Advantages:​

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

Disadvantages:​

  • Ignores all feature information.
  • Poor performance.