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mean_tweedie_deviance — scikit-learn 1.7.2 docu...
Gallery examples: Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
permutation_test_score — scikit-learn 1.7.2 doc...
Gallery examples: Test with permutations the significance of a classification scorescikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
estimator_html_repr — scikit-learn 1.7.2 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html -
theme.min.css
e-visibility:hidden}@-moz-document url-prefix(){.leaflet-container...6-6'/%3e%3c/svg%3e")}@-moz-document url-prefix(){.dark-mode o...fess.codelibs.org/_static/assets/css/theme.min.css -
Comparing Linear Bayesian Regressors — scikit-l...
This example compares two different bayesian regressors: a Automatic Relevance Determination - ARD, a Bayesian Ridge Regression. In the first part, we use an Ordinary Least Squares(OLS) model as a ...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
OOB Errors for Random Forests — scikit-learn 1....
The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations z_i = (x_i, y_i). The out-of-bag(OOB) error is the...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html -
Plot Hierarchical Clustering Dendrogram — sciki...
This example plots the corresponding dendrogram of a hierarchical clustering using AgglomerativeClustering and the dendrogram method available in scipy. Total running time of the script:(0 minutes ...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html -
Approximate nearest neighbors in TSNE — scikit-...
This example presents how to chain KNeighborsTransformer and TSNE in a pipeline. It also shows how to wrap the packages nmslib and pynndescent to replace KNeighborsTransformer and perform approxima...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Demo of DBSCAN clustering algorithm — scikit-le...
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) finds core samples in regions of high density and expands clusters from them. This algorithm is good for data which contains clu...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
Spectral clustering for image segmentation — sc...
In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, the Spectral clustering approach solves the problem know as...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html