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GammaRegressor — scikit-learn 1.7.2 documentation
score ( X , y ) np.float64(0.773)...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
Importance of Feature Scaling — scikit-learn 1....
also called Z-score normalization, is an important...sklearn.metrics import accuracy_score , log_loss y_pred = unscaled_clf...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Imputing missing values with variants of Iterat...
) scores = pd . concat ( [ score_full_data , score_simple_imputer...return cross_val_score ( estimator , X , y , scoring = "neg_mean_squared_error"...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
PolynomialCountSketch — scikit-learn 1.7.2 docu...
The optimal score / run time balance is typically...SGDClassifier(max_iter=10) >>> clf . score ( X_features , y ) 1.0 For a...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html -
Visualization of MLP weights on MNIST — scikit-...
05534985 Training set score: 0.986429 Test set score: 0.953061 # Authors:...print ( "Training set score: %f " % mlp . score ( X_train , y_train...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
SVM-Anova: SVM with univariate feature selectio...
import cross_val_score score_means = list () score_stds = list ()...) this_scores = cross_val_score ( clf , X , y ) score_means ....scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Scaling the regularization parameter for SVCs —...
shuffle_params ) train_scores , test_scores = validation_curve (...shuffle_params ) train_scores , test_scores = validation_curve (...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
plot_kmeans_digits.py
homo homogeneity score compl completeness score v-meas V measure...metrics.homogeneity_score, metrics.completeness_score, metrics.v_measure_score,...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
Ordinary Least Squares and Ridge Regression — s...
r2_score y_pred = regressor . predict..."Coefficient of determination: { r2_score ( y_test , y_pred ) : .2f }...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
Probabilistic predictions with Gaussian process...
metrics import accuracy_score , log_loss # Generate data train_size...%.3f (optimized)" % ( accuracy_score ( y [: train_size ], gp_fix...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html