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balanced_accuracy_score — scikit-learn 1.5.2 do...
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
Statistical comparison of models using grid sea...
\[t=\frac{\frac{1}{k \cdot r}\sum_{i=1}^{k}\sum_{j=1}^{r}x_{ij}}...p-values higher than 1 p_val = 1 if p_val > 1 else p_val pairwise_t_test...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
cohen_kappa_score — scikit-learn 1.5.2 document...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
zero_one_loss — scikit-learn 1.5.2 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...zero_one_loss >>> y_pred = [ 1 , 2 , 3 , 4 ] >>> y_true = [ 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
Comparison of F-test and mutual information — s...
follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...features x_1, x_2, x_3 distributed uniformly over [0, 1], the target...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Pixel importances with a parallel forest of tre...
-1 means use all available cores. n_jobs = - 1 Load the...RandomForestClassifi(n_estimators=750, n_jobs=-1, random_state=42) In a Jupyter...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances_faces.html -
10. Common pitfalls and recommended practices —...
n_features = 1 , noise = 1 ) >>> X_train , X_test ,...applies to using None . 10.3.1.1. Estimators # Passing instances...scikit-learn.org/stable/common_pitfalls.html -
Classification of text documents using sparse f...
the mean squared error on {-1, 1} encoded targets, one for each...n_features: { X_train . shape [ 1 ] } " ) print ( f "vectorize testing...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Comparing different clustering algorithms on to...
"connectivity matrix is [0-9]{1,2}" + " > 1. Completing it to avoid...= n_samples , cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
all_estimators — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub all_estimators # sklearn.utils.discovery. all_estimators ( type_filt...scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html