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Post pruning decision trees with cost complexit...
The DecisionTreeClassifier provides parameters such as min_samples_leaf and max_depth to prevent a tree from overfiting. Cost complexity pruning provides another option to control the size of a tre...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
Factor Analysis (with rotation) to visualize pa...
Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less redundant. Matrix decomposition techniques can uncover these latent...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
An example of K-Means++ initialization — scikit...
An example to show the output of the sklearn.cluster.kmeans_plusplus function for generating initial seeds for clustering. K-Means++ is used as the default initialization for K-means. Total running...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
Plot the decision surfaces of ensembles of tree...
Plot the decision surfaces of forests of randomized trees trained on pairs of features of the iris dataset. This plot compares the decision surfaces learned by a decision tree classifier (first col...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html -
make_sparse_spd_matrix — scikit-learn 1.5.2 doc...
Gallery examples: Sparse inverse covariance estimationscikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
enable_halving_search_cv — scikit-learn 1.5.2 d...
Enables Successive Halving search-estimators The API and results of these estimators might change without any deprecation cycle. Importing this file dynamically sets the HalvingRandomSearchCV and H...scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_halving_search_cv.html -
root_mean_squared_error — scikit-learn 1.5.2 do...
Gallery examples: Features in Histogram Gradient Boosting Trees Lagged features for time series forecastingscikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
homogeneity_completeness_v_measure — scikit-lea...
Skip to main content Back to top Ctrl + K GitHub homogeneity_completeness_v_measure # sklearn.metrics. homogeneity_co...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html -
top_k_accuracy_score — scikit-learn 1.5.2 docum...
Skip to main content Back to top Ctrl + K GitHub top_k_accuracy_score # sklearn.metrics. top_k_accuracy_score ( y_tru...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
mean_squared_log_error — scikit-learn 1.5.2 doc...
Skip to main content Back to top Ctrl + K GitHub mean_squared_log_error # sklearn.metrics. mean_squared_log_error ( y...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html