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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 -
Circuit-Breaker configuration options | APM Jav...
circuit_breaker_enabled ( [ 1.14.0 ] Added in 1.14.0. performance) A...www.elastic.co/guide/en/apm/agent/java/current/config-circuit-breaker.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 -
load_digits — scikit-learn 1.6.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.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 -
Face completion with a multi-output estimators ...
shape [ 1 ] # Upper half of the faces X_train...X_train = train [:, : ( n_pixels + 1 ) // 2 ] # Lower half of the faces...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Faces recognition example using eigenfaces and ...
1 )[ - 1 ] true_name = target_names...y_test [ i ]] . rsplit ( " " , 1 )[ - 1 ] return "predicted: %s \n...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
SVM: Separating hyperplane for unbalanced class...
clusters of random points n_samples_1 = 1000 n_samples_2 = 100 centers...2.0 , 2.0 ]] clusters_std = [ 1.5 , 0.5 ] X , y = make_blobs (...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html