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QuantileTransformer — scikit-learn 1.7.2 docume...
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...normal ( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis =...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
r2_score — scikit-learn 1.7.2 documentation
948... >>> y_true = [[ 0.5 , 1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...[ 2.5 , 0.0 , 2 , 8 ] >>> r2_score ( y_true , y_pred ) 0.948......scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
LassoLarsIC — scikit-learn 1.7.2 documentation
2.2222 , - 1.1111 , 0 , - 1.1111 , - 2.2222 ] >>> reg . fit (...], [ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]] >>> y = [ - 2.2222...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
det_curve — scikit-learn 1.7.2 documentation
array([0. , 0.5, 0.5]) >>> thresholds array([0.35, 0.4 , 0.8 ])...([ 0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , fnr , thresholds = det_curve...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
RidgeCV — scikit-learn 1.7.2 documentation
linear_model. RidgeCV ( alphas = (0.1, 1.0, 10.0) , * , fit_intercept...array-like of shape (n_alphas,), default=(0.1, 1.0, 10.0) Array...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
rand_score — scikit-learn 1.7.2 documentation
rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings...0 , 0 , 1 , 1 ]) 0.83 Gallery examples # Adjustment for chance...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
GradientBoostingClassifier — scikit-learn 1.7.2...
None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient Boosting...increase in bias. Values must be in the range (0.0, 1.0] . criterion...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
HistGradientBoostingRegressor — scikit-learn 1....
{‘squared_error’, ‘absolute_error’, ‘gamma’, ‘poisson’, ‘quantile’}, def...'squared_error' , * , quantile = None , learning_rate = 0.1 , max_iter =...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
IsotonicRegression — scikit-learn 1.7.2 documen...
iso_reg . predict ([ .1 , .2 ]) array([1.8628, 3.7256]) fit ( X ,...estimate’s sign. out_of_bounds {‘nan’, ‘clip’, ‘raise’}, default=’nan’...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
classification_report — scikit-learn 1.7.2 docu...
{ 'precision' : 0.5 , 'recall' : 1.0 , 'f1-score' : 0.67 , 'support'...recall f1-score support class 0 0.50 1.00 0.67 1 class 1 0.00 0.00...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html