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3.3. Metrics and scoring: quantifying the quali...
uniformly: \[\frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c (\text{AUC}(j...prevalence: \[\frac{1}{c(c-1)}\sum_{j=1}^{c}\sum_{k > j}^c p(j \cup k)(...scikit-learn.org/stable/modules/model_evaluation.html -
The Allman Brothers Band - Wikipedia
^ a b c Paul 2014 , p. 237. ^ a b c Paul 2014 , p. 245....2012 . ^ Poe 2008 , p. 10. ^ a b c d e f g h i j k l m n o Eder,...en.wikipedia.org/wiki/The_Allman_Brothers_Band -
6.7. Kernel Approximation — scikit-learn 1.4.2 ...
\prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...free parameter, that is called \(c\) . For a motivation for this...scikit-learn.org/stable/modules/kernel_approximation.html -
sklearn.naive_bayes.ComplementNB — scikit-learn...
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
2.4. Biclustering — scikit-learn 1.4.2 document...
as follows: \[A_n = R^{-1/2} A C^{-1/2}\] Where \(R\) is the diagonal...to \(\sum_{j} A_{ij}\) and \(C\) is the diagonal matrix with...scikit-learn.org/stable/modules/biclustering.html -
sklearn.model_selection.permutation_test_score ...
calculated as: (C + 1) / (n_permutations + 1) Where C is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
Release Highlights for scikit-learn 1.0 — sciki...
or with conda: conda install - c conda - forge scikit - learn Keyword...]], columns = [ "a" , "b" , "c" ]) scalar = StandardScaler ()...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
sklearn.preprocessing.PolynomialFeatures — scik...
order {‘C’, ‘F’}, default=’C’ Order of output array...include_bias = True , order = 'C' ) [source] Generate polynomial...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
sklearn.discriminant_analysis.LinearDiscriminan...
corresponds to sum_k prior_k * C_k where C_k is the covariance matrix...the samples in class k . The C_k are estimated using the (potentially...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
sklearn.decomposition.PCA — scikit-learn 1.4.2 ...
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...from: Tipping, M. E., and Bishop, C. M. (1999). “Probabilistic principal...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html