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Comparing random forests and the multi-output m...
edgecolor = "k" , c = "navy" , s = s , marker = "s" , alpha = a , label...edgecolor = "k" , c = "c" , s = s , marker = "^" , alpha = a , label...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
DetCurveDisplay — scikit-learn 1.7.0 documentation
test_size = 0.4 , random_state = 0 ) >>> clf = SVC ( random_state...DetCurveDisplay ( ... fpr = fpr , fnr = fnr , estimator_name = "SVC" ... )...scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
Probability calibration of classifiers — scikit...
): this_X = X_train [ y_train == this_y ] this_sw = sw_train [...n_samples = n_samples , centers = centers , shuffle = False , random_state...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
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35273367 width=64, height=64, bitDepth=8, colorType=RGBAlpha, c...whitePointX=31270, whitePointY=32900, redX=64000, redY=33000, greenX=30000,...www.elastic.co/favicon_64x64_16bit.png -
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<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...ask.metafilter.com -
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el_quotesCarousel__toTDc [dir=rtl] .slick-slide{float:right}...el_quotesCarousel__toTDc [dir=rtl] .slick-prev{right:-25px;l...www.elastic.co/_next/static/css/deda38834c6d2e7f.css -
Demonstration of k-means assumptions — scikit-l...
( X [ y == 0 ][: 500 ], X [ y == 1 ][: 100 ], X [ y == 2 ][: 10...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Decision Boundaries of Multinomial and One-vs-R...
n_samples = 1_000 , centers = centers , random_state = 40 ) transformation..., ax = plt . subplots ( figsize = ( 6 , 4 )) scatter = ax . scatter...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Poisson regression and non-normal loss — scikit...
axes = plt . subplots ( nrows = 2 , ncols = 4 , figsize = ( 16..., ax = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Multilabel classification — scikit-learn 1.7.0 ...
if transform == "pca" : X = PCA ( n_components = 2 ) . fit_transform...elif transform == "cca" : X = CCA ( n_components = 2 ) . fit ( X...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
