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Understanding the decision tree structure ̵...
3] = 2.4) > 0.800000011920929) decision node 2 : (X_test[0,...min_samples_split: int or float, default=2 The minimum number of samples...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
plot_classifier_comparison.zip
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
LocalOutlierFactor — scikit-learn 1.8.0 d...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which..., metric = 'minkowski' , p = 2 , metric_params = None , contamination...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html -
Concatenating multiple feature extraction metho...
0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
Multiclass Receiver Operating Characteristic (R...
This can be done in 2 different ways: the One-vs-Rest...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
DotProduct — scikit-learn 1.8.0 documenta...
\sigma_0^2)\) on the bias. The DotProduct...of the kernel. For \(\sigma_0^2 =0\) , the kernel is called the...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
Manifold learning on handwritten digits: Locall...
zorder = 2 , ) shown_images = np . array...(( X [ i ] - shown_images ) ** 2 , 1 ) if np . min ( dist ) <...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Agglomerative clustering with different metrics...
waveforms (waveform 1 and waveform 2) are proportional one to the other....not separate out waveform 1 and 2. We add observation noise to these...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
ExpSineSquared — scikit-learn 1.8.0 docum...
\text{exp}\left(- \frac{ 2\sin^2(\pi d(x_i, x_j)/p) }{ l^ 2} \right)\] where...>>> gpr . predict ( X [: 2 ,:], return_std = True ) (array([425.6,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html -
roc_curve — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> scores = np...Returns : fpr ndarray of shape (>2,) Increasing false positive rates...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html