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Uniform Dummy Classifier

The uniform 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.