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Kernel Density Estimate of Species Distribution...
This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon the Haversine distance metric – i.e. distances over point...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
SGD: convex loss functions — scikit-learn 1.6.1...
A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.098 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
cohen_kappa_score — scikit-learn 1.6.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version cohen_kappa_score # sklearn.metrics. cohen_kappa_scor...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
balanced_accuracy_score — scikit-learn 1.6.1 do...
Skip to main content Back to top Ctrl + K GitHub Choose version balanced_accuracy_score # sklearn.metrics. balanced_a...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
mean_tweedie_deviance — scikit-learn 1.6.1 docu...
Gallery examples: Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
mean_poisson_deviance — scikit-learn 1.6.1 docu...
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
load_breast_cancer — scikit-learn 1.6.1 documen...
Gallery examples: Post pruning decision trees with cost complexity pruning Model-based and sequential feature selection Permutation Importance with Multicollinear or Correlated Features Effect of v...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
make_gaussian_quantiles — scikit-learn 1.6.1 do...
Gallery examples: Multi-class AdaBoosted Decision Trees Two-class AdaBoostscikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
make_swiss_roll — scikit-learn 1.6.1 documentation
Gallery examples: Hierarchical clustering: structured vs unstructured ward Swiss Roll And Swiss-Hole Reductionscikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html -
4.2. Permutation feature importance — scikit-le...
as documented in Using multiple metric...scikit-learn.org/stable/modules/permutation_importance.html