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SVM-Anova: SVM with univariate feature selectio...
This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris dataset (4 features) and add 36...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Compare the effect of different scalers on data...
Feature 0 (median income in a block) and feature 5 (average house occupancy) of the California Housing dataset have very different scales and contain some very large outliers. These two characteris...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
Permutation Importance vs Random Forest Feature...
Documentation for Pipeline i Fitted Parameters...preprocess: ColumnTransformer ? Documentation for preprocess: ColumnTransformer...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Search - scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version Search Ctrl + Kscikit-learn.org/stable/search.html -
User Guide — scikit-learn 1.7.2 documenta...
Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Or...scikit-learn.org/stable/user_guide.html -
Decision Trees — scikit-learn 1.7.2 docum...
Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...scikit-learn.org/stable/auto_examples/tree/index.html -
Ensemble methods — scikit-learn 1.7.2 doc...
Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...scikit-learn.org/stable/auto_examples/ensemble/index.html -
Dataset examples — scikit-learn 1.7.2 doc...
Examples concerning the sklearn.datasets module. Plot randomly generated multilabel datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
Multiclass methods — scikit-learn 1.7.2 d...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Feature Selection — scikit-learn 1.7.2 do...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html