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theme.min.css
text-start{text-align:left !important}.text-end{text-align:right...)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{c...fess.codelibs.org/ja/_static/assets/css/theme.min.css -
export_text — scikit-learn 1.5.0 documentation
GitHub export_text # sklearn.tree. export_text ( decision_tree...= False ) [source] # Build a text report showing the rules of...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
Out-of-core classification of text documents — ...
while len ( X_text ): yield X_text , y X_text , y = get_minibatch...- tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {...Clustering text documents using k-means Clustering text documents...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Sample pipeline for text feature extraction and...
title = { "text" : "Parallel coordinates plot of text classifier...{ "text" : "trade-off between scoring time and mean test score"...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
Semi-supervised Classification on a Text Datase...
X_test , y_train , y_test = train_test_split ( X ,..., X_train , y_train , X_test , y_test ): print ( "Number of training...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Clustering text documents using k-means — sciki...
Loading text data # We load data from The 20 newsgroups text dataset...top Ctrl + K GitHub Clustering text documents using k-means # This...scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
model_evaluation.rst.txt
math:: \text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},...math:: \text{recall} = \frac{\text{tp}}{\text{tp} + \text{fn}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
3.4. Metrics and scoring: quantifying the quali...
(pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...recall: \[\text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},\]...scikit-learn.org/stable/modules/model_evaluation.html -
6.2. Feature extraction — scikit-learn 1.5.0 do...
1\) \(\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...document-frequency : \(\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}\)...scikit-learn.org/stable/modules/feature_extraction.html