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CalibratedClassifierCV — scikit-learn 1.7.1 doc...
2 ] Transforming Classifier Scores into Accurate Multiclass Probability...n_classes) The predicted probas. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
Classification of text documents using sparse f...
3 } s" ) score = metrics . accuracy_score ( y_test , pred...it is more evident that the scores of the model trained with metadata...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
ClassifierTags — scikit-learn 1.7.1 documentation
ClassifierTags ( poor_score : bool = False , multi_class...classifier. Parameters : poor_score bool, default=False Whether...scikit-learn.org/stable/modules/generated/sklearn.utils.ClassifierTags.html -
Root cause analysis with logs: Elastic Observab...
Elastic will provide a score for the anomaly. In this example,...we can see that there is a score of 96 for a specific anomaly...www.elastic.co/observability-labs/blog/reduce-mttd-ml-machine-learning-observability -
CategoricalNB — scikit-learn 1.7.1 documentation
score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
SVC — scikit-learn 1.7.1 documentation
score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
getting_started.rst.txt
>>> result['test_score'] # r_squared score is high because dataset...sets, and compute the accuracy score of a pipeline on the test data::...scikit-learn.org/stable/_sources/getting_started.rst.txt -
MultinomialNB — scikit-learn 1.7.1 documentation
score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
plot_hgbt_regression.py
scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...cv=ts_cv, scoring=scorer) rmse = cv_results["test_score"] print(f"RMSE...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py -
classification_report — scikit-learn 1.7.1 docu...
F1 score for each class. Dictionary returned...0.5 , 'recall' : 1.0 , 'f1-score' : 0.67 , 'support' : 1 }, 'label...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html