3306 1159 TESTe4925083a8sklearn.dummy.DummyClassifier sklearn.DummyClassifier sklearn.dummy.DummyClassifier 1 openml==0.14.1,sklearn==0.23.1 DummyClassifier is a classifier that makes predictions using simple rules. This classifier is useful as a simple baseline to compare with other (real) classifiers. Do not use it for real problems. 2024-01-10T16:16:34 English sklearn==0.23.1 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0 constant int or str or array null The explicit constant as predicted by the "constant" strategy. This parameter is useful only for the "constant" strategy. random_state int null 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 <random_state>` strategy str "prior" 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* openml-python python scikit-learn sklearn sklearn_0.23.1