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Plot individual and voting regression predictio...
A voting regressor is an ensemble meta-estimator that fits several base regressors, each on the whole dataset. Then it averages the individual predictions to form a final prediction. We will use th...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
fetch_20newsgroups_vectorized — scikit-learn 1....
Gallery examples: Model Complexity Influence Multiclass sparse logistic regression on 20newgroups The Johnson-Lindenstrauss bound for embedding with random projectionsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html -
fetch_california_housing — scikit-learn 1.5.2 d...
Gallery examples: Release Highlights for scikit-learn 0.24 Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values before buildin...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html -
Examples based on real world datasets — scikit-...
Applications to real world problems with some medium sized datasets or interactive user interface. Compressive sensing: tomography reconstruction with L1 prior (Lasso) Faces recognition example usi...scikit-learn.org/stable/auto_examples/applications/index.html -
fetch_species_distributions — scikit-learn 1.5....
Gallery examples: Species distribution modeling Kernel Density Estimate of Species Distributionsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
load_sample_image — scikit-learn 1.5.2 document...
Gallery examples: Color Quantization using K-Meansscikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html -
sklearn.naive_bayes — scikit-learn 1.5.2 docume...
Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...scikit-learn.org/stable/api/sklearn.naive_bayes.html -
sklearn.kernel_approximation — scikit-learn 1.5...
Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.scikit-learn.org/stable/api/sklearn.kernel_approximation.html -
cohen_kappa_score — scikit-learn 1.5.2 document...
prior over the class labels [2] . Read more in the User Guide...Psychological Measurement 20(1):37-46. [ 2 ] R. Artstein and M. Poesio (2008)....scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
Factor Analysis (with rotation) to visualize pa...
2 , 3 ]) ax . set_xticklabels (...) ax . set_yticks ([ 0 , 1 , 2 , 3 ]) ax . set_yticklabels (...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html