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2.3. Clustering — scikit-learn 1.4.2 documentation
\sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T\] with \(C_q\) the set of...\[\begin{split}C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...scikit-learn.org/stable/modules/clustering.html -
sklearn.datasets.make_multilabel_classification...
choose a class c: c ~ Multinomial(theta) pick the...a word: w ~ Multinomial(theta_c) In the above process, rejection...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
sklearn.metrics.confusion_matrix — scikit-learn...
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 -
grid_search.rst.txt
= [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...classes. Typical examples include ``C``, ``kernel`` and ``gamma`` for...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
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 -
3.2. Tuning the hyper-parameters of an estimato...
Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...scikit-learn.org/stable/modules/grid_search.html -
sklearn.linear_model.LogisticRegressionCV — sci...
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 -
sklearn.svm.SVC — scikit-learn 1.4.2 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...class sklearn.svm. SVC ( * , C = 1.0 , kernel = 'rbf' , degree...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
sklearn.discriminant_analysis.QuadraticDiscrimi...
Returns : C ndarray of shape (n_samples,)...vectors X. The predicted class C for each sample in X is returned....scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...