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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