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confusion_matrix — scikit-learn 1.7.0 documenta...
a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to...negatives is \(C_{0,0}\) , false negatives is \(C_{1,0}\) , true...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
clustering.rst.txt
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T with :math:`C_q` the set...math:: C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
plot_release_highlights_1_7_0.zip
or with conda:: conda install -c conda-forge scikit-learn """ #...d=False), LogisticRegression(C=2.0)) model # %% # Custom validation...scikit-learn.org/stable/_downloads/0f052545c78541815099d62501f25a9e/plot_release_highlights_1_7_0... -
plot_classifier_comparison.rst.txt
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
LinearSVC — scikit-learn 1.7.0 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
7.7. Kernel Approximation — scikit-learn 1.7.0 ...
\prod_i \frac{2\sqrt{x_i+c}\sqrt{y_i+c}}{x_i + y_i + 2c}\] It has...kernels” Li, F., Ionescu, C., and Sminchisescu, C. - Pattern Recognition,...scikit-learn.org/stable/modules/kernel_approximation.html -
LogisticRegressionCV — scikit-learn 1.7.0 docum...
the best C is the average of the C’s that correspond...folds, and the coefs and the C that corresponds to the best score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
8.3. Generated datasets — scikit-learn 1.7.0 do...
c = y ) plt . title ( "Three normally-distributed...scatter ( X [:, 0 ], X [:, 1 ], c = Y ) axs [ i ] . set_title (...scikit-learn.org/stable/datasets/sample_generators.html -
Bunch — scikit-learn 1.7.0 documentation
c = 6 >>> b [ 'c' ] 6 clear ( ) → None....scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
MultinomialNB — scikit-learn 1.7.0 documentation
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html