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zero_one_loss — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version zero_one_loss # sklearn.metrics. zero_one_loss ( y_tr...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
Ridge coefficients as a function of the L2 Regu...
A model that overfits learns the training data too well, capturing both the underlying patterns and the noise in the data. However, when applied to unseen data, the learned associations may not hol...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
Curve Fitting with Bayesian Ridge Regression — ...
Computes a Bayesian Ridge Regression of Sinusoids. See Bayesian Ridge Regression for more information on the regressor. In general, when fitting a curve with a polynomial by Bayesian ridge regressi...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
balanced_accuracy_score — scikit-learn 1.7.1 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 1.7.1 docu...
Gallery examples: Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
mean_poisson_deviance — scikit-learn 1.7.1 docu...
Gallery examples: Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Categorical Feature Support in Gradient Boostin...
In this example, we will compare the training times and prediction performances of HistGradientBoostingRegressor with different encoding strategies for categorical features. In particular, we will ...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
8. Dataset loading utilities — scikit-learn 1.7...
The sklearn.datasets package embeds some small toy datasets and provides helpers to fetch larger datasets commonly used by the machine learning community to benchmark algorithms on data that comes ...scikit-learn.org/stable/datasets.html -
Plotting Cross-Validated Predictions — scikit-l...
This example shows how to use cross_val_predict together with PredictionErrorDisplay to visualize prediction errors. We will load the diabetes dataset and create an instance of a linear regression ...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
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