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TEST533a4ad2c4sklearn.dummy.DummyClassifier

TEST533a4ad2c4sklearn.dummy.DummyClassifier

Visibility: public Uploaded 10-01-2024 by Continuous Integration sklearn==0.22.2 numpy>=1.11.0 scipy>=0.17.0 joblib>=0.11 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.22.2
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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.

Parameters

constantThe explicit constant as predicted by the "constant" strategy. This parameter is useful only for the "constant" strategy.default: null
random_stateIf int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by `np.random`default: null
strategyStrategy 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"

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