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permutation_test_score — scikit-learn 1.6.1 doc...
p-value is 1/(n_permutations + 1), the worst is 1.0. Notes This...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
additive_chi2_kernel — scikit-learn 1.6.1 docum...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...additive_chi2_kernel ( X , Y ) array([[-1., -2.], [-2., -1.]]) On this page This...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html -
6.5. Unsupervised dimensionality reduction — sc...
1. PCA: principal component analysis...scikit-learn.org/stable/modules/unsupervised_reduction.html -
balanced_accuracy_score — scikit-learn 1.6.1 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 -
mean_tweedie_deviance — scikit-learn 1.6.1 docu...
power = 1 ) 1.4260... Gallery examples # Tweedie...Either power <= 0 or power >= 1. The higher p the less weight...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
cohen_kappa_score — scikit-learn 1.6.1 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 -
1.9. Naive Bayes — scikit-learn 1.6.1 documenta...
= P(x_i = 1 \mid y) x_i + (1 - P(x_i = 1 \mid y)) (1 - x_i)\]...that \[P(x_i | y, x_1, \dots, x_{i-1}, x_{i+1}, \dots, x_n) = P(x_i...scikit-learn.org/stable/modules/naive_bayes.html -
1.7. Gaussian Processes — scikit-learn 1.6.1 do...
1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...features exceeds a few dozens. 1.7.1. Gaussian Process Regression...scikit-learn.org/stable/modules/gaussian_process.html -
zero_one_loss — scikit-learn 1.6.1 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 -
fetch_olivetti_faces — scikit-learn 1.6.1 docum...
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the Olivetti...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html