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Adjustment for chance in clustering performance...
scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
Principal Component Regression vs Partial Least...
scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Scalable learning with polynomial kernel approx...
scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Comparison of LDA and PCA 2D projection of Iris...
scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Demo of affinity propagation clustering algorit...
scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html -
OOB Errors for Random Forests — scikit-le...
scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html -
Illustration of Gaussian process classification...
scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
scikit-learn: machine learning in Python —...
commercially usable - BSD license GitHub Choose version Classification...scikit-learn.org/stable/index.html -
SVM: Separating hyperplane for unbalanced class...
scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
SVM: Weighted samples — scikit-learn 1.8....
scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html