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FixedThresholdClassifier — scikit-learn 1.6.1 d...
X_test , y_train , y_test = train_test_split ( ......confusion_matrix ( y_test , classifier . predict ( X_test ))) [[217 7]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
6.3. Preprocessing data — scikit-learn 1.6.1 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
plot_hgbt_regression.ipynb
import train_test_split\n\nX_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False)\n\nprint(f\"Training...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb -
Model Selection — scikit-learn 1.6.1 documentation
regularization on training and test error Effect of model regularization...regularization on training and test error Multiclass Receiver Operating...scikit-learn.org/stable/auto_examples/model_selection/index.html -
MultinomialNB — scikit-learn 1.6.1 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
ComplementNB — scikit-learn 1.6.1 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
NearestCentroid — scikit-learn 1.6.1 documentation
with test samples classified to the class...n_features) Array of samples (test vectors). Returns : y_scores...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
ExtraTreesRegressor — scikit-learn 1.6.1 docume...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... apply ( X )...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
AdaBoostClassifier — scikit-learn 1.6.1 documen...
the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html