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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 -
zero_one_loss — scikit-learn 1.7.2 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 -
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 -
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 -
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 -
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 -
cohen_kappa_score — scikit-learn 1.7.2 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 -
Ordinary Least Squares and Ridge Regression — s...
Ordinary Least Squares: We illustrate how to use the ordinary least squares (OLS) model, LinearRegression, on a single feature of the diabetes dataset. We train on a subset of the data, evaluate on...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
Gaussian processes on discrete data structures ...
This example illustrates the use of Gaussian processes for regression and classification tasks on data that are not in fixed-length feature vector form. This is achieved through the use of kernel f...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html