Issue | #Downvotes for this reason | By |
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constant | The explicit constant as predicted by the "constant" strategy. This parameter is useful only for the "constant" strategy. | default: null |
random_state | Controls the randomness to generate the predictions when
``strategy='stratified'`` or ``strategy='uniform'``
Pass an int for reproducible output across multiple function calls
See :term:`Glossary | default: null |
strategy | Strategy to use to generate predictions * "stratified": generates predictions by respecting the training set's class distribution * "most_frequent": always predicts the most frequent label in the training set * "prior": always predicts the class that maximizes the class prior (like "most_frequent") and ``predict_proba`` returns the class prior * "uniform": generates predictions uniformly at random * "constant": always predicts a constant label that is provided by the user. This is useful for metrics that evaluate a non-majority class .. versionchanged:: 0.22 The default value of `strategy` will change to "prior" in version 0.24. Starting from version 0.22, a warning will be raised if `strategy` is not explicitly set .. versionadded:: 0.17 Dummy Classifier now supports prior fitting strategy using parameter *prior* | default: "prior" |