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Advanced Plotting With Partial Dependence — sci...
zes=(100, 100), max_iter=500, random_state=0, tol=0.01))]) In...zes=(100, 100), max_iter=500, random_state=0, tol=0.01))]) In...scikit-learn.org/stable/auto_examples/miscellaneous/plot_partial_dependence_visualization_api.html -
Model-based and sequential feature selection — ...
error): 0.002 0.031 compactness (standard error): 0.002 0.135 concavity...error): 0.0 0.396 concave points (standard error): 0.0 0.053 symmetry...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Polynomial and Spline interpolation — scikit-le...
linspace ( 0 , 10 , 100 ) rng = np . random . RandomState ( 0 ) x_train...n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Theil-Sen Regression — scikit-learn 1.8.0 docum...
0 c = 2.0 noise = 0.1 * np . random . randn...seed ( 0 ) n_samples = 200 # Linear model y = 3*x + N(2, 0.1**2)...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
SGD: convex loss functions — scikit-learn 1.8.0...
>= - 1 ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return...xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax ], [ 1 , 1...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
Plotting Learning Curves and Checking Models’ S...
linspace ( 0.1 , 1.0 , 5 ), "cv" : ShuffleSplit..."train_sizes" : np . linspace ( 0.1 , 1.0 , 5 ), "cv" : ShuffleSplit...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
Multiclass methods — scikit-learn 1.8.0 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Kernel Density Estimate of Species Distribution...
subplots_adjust ( left = 0.05 , right = 0.95 , wspace = 0.05 ) for i in range...( 2 ): plt . subplot ( 1 , 2 , i + 1 ) # construct a kernel density...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
Imputing missing values before building an esti...
mses_diabetes ) * 0.9 , right = np . max ( mses_diabetes ) * 1.1 ) ax1 ....data: mses_diabetes [ 0 ], stds_diabetes [ 0 ] = get_score ( X_diabetes...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Detection error tradeoff (DET) curve — scikit-l...
n_estimators = 10 , max_features = 1 , random_state = 0 ), "Non-informative...n_redundant = 0 , n_informative = 2 , random_state = 1 , n_clusters_per_class...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html