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haversine_distances — scikit-learn 1.8.0 ...
with a less than 1% error on average. Examples We...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.haversine_distances.html -
LedoitWolf — scikit-learn 1.8.0 documenta...
1]. n_features_in_ int Number of...all strings. Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
make_scorer — scikit-learn 1.8.0 document...
scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...estimator . Added in version 1.4. greater_is_better bool, default=True...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
Precision-Recall — scikit-learn 1.8.0 doc...
versionchanged:: 1.3 The `"auto"` option is added in version 1.3 and will...intercept term: `[x_1, ..., x_n, 1]`, where 1 corresponds to the intercept....scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
SVM Tie Breaking Example — scikit-learn 1...
1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Understanding the decision tree structure ̵...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
Bunch — scikit-learn 1.8.0 documentation
>>> b = Bunch ( a = 1 , b = 2 ) >>> b [ 'b'...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
check_scoring — scikit-learn 1.8.0 docume...
Added in version 1.6. Returns : scoring callable...= True ) >>> y *= - 1 >>> clf = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
PredictionErrorDisplay — scikit-learn 1.8...
scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
Visualizing the probabilistic predictions of a ...
uniform ( low =- 1 , high = 1 , size = ( n_samples , 2...xor [ "Feature #1" ] + noise [:, 1 ] > 0 ) X = xor...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html