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Gradient Boosting regression — scikit-learn 1.7...
This example demonstrates Gradient Boosting to produce a predictive model from an ensemble of weak predictive models. Gradient boosting can be used for regression and classification problems. Here,...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Nearest Centroid Classification — scikit-learn ...
Sample usage of Nearest Centroid classification. It will plot the decision boundaries for each class.,., Total running time of the script:(0 minutes 0.152 seconds) Launch binder Launch JupyterLite ...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Polynomial and Spline interpolation — scikit-le...
This example demonstrates how to approximate a function with polynomials up to degree degree by using ridge regression. We show two different ways given n_samples of 1d points x_i: PolynomialFeatur...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
Pipelines and composite estimators — scikit-lea...
Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...scikit-learn.org/stable/auto_examples/compose/index.html -
r2_score — scikit-learn 1.7.0 documentation
Gallery examples: Effect of transforming the targets in regression model Failure of Machine Learning to infer causal effects L1-based models for Sparse Signals Non-negative least squares Ordinary L...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
rand_score — scikit-learn 1.7.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
classification_report — scikit-learn 1.7.0 docu...
Gallery examples: Faces recognition example using eigenfaces and SVMs Recognizing hand-written digits Column Transformer with Heterogeneous Data Sources Pipeline ANOVA SVM Custom refit strategy of ...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
dcg_score — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version dcg_score # sklearn.metrics. dcg_score ( y_true , y_s...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
make_circles — scikit-learn 1.7.0 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Kernel PCA Hashing feature transfo...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
make_moons — scikit-learn 1.7.0 documentation
Gallery examples: Classifier comparison Comparing different clustering algorithms on toy datasets Comparing different hierarchical linkage methods on toy datasets Comparing anomaly detection algori...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html