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3.1. Cross-validation: evaluating estimator per...
available data as a test set X_test, y_test . Note that the word...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/cross_validation.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
‘test’ for the test set, ‘all’ for both,...Parameters : subset {‘train’, ‘test’, ‘all’}, default=’train’ Select...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
RFECV — scikit-learn 1.5.0 documentation
test) splits as arrays of indices....the following keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
ElasticNet — scikit-learn 1.5.0 documentation
Train error vs Test error Train error vs Test error Fitting an...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
ElasticNetCV — scikit-learn 1.5.0 documentation
are tested by cross-validation and the one giving the best prediction...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
LarsCV — scikit-learn 1.5.0 documentation
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
Isotonic Regression — scikit-learn 1.5.0 docume...
plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Second human case of bird flu linked to dairy c...
a sample taken from the eye tested positive for the virus. A sample...typical flu season is over and testing for the virus falls to a minimum...www.nbcnews.com/health/health-news/second-human-case-bird-flu-linked-dairy-cows-found-michigan-rc... -
IsolationForest example — scikit-learn 1.5.0 do...
X_test , y_train , y_test = train_test_split ( X ,...sklearn.model_selection import train_test_split n_samples , n_outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
for training n_test = 200 # samples for testing n_averages = 50...) X , y = generate_data ( n_test , n_features ) score_clf1 +=...scikit-learn.org/stable/auto_examples/classification/plot_lda.html