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mean_poisson_deviance — scikit-learn 1.8.0 docu...
0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ]...point value (the best value is 0.0). Examples >>> from sklearn.metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
sklearn.kernel_ridge — scikit-learn 1.8.0 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
r2_score — scikit-learn 1.8.0 documentation
y_pred ) 0.948... >>> y_true = [[ 0.5 , 1 ], [ - 1 , 1 ], [ 7 ,...replaced with 1.0 (perfect predictions) or 0.0 (imperfect predictions)...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
coverage_error — scikit-learn 1.8.0 documentation
[[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0 ],...], [ 0 , 1 , 1 ]] >>> coverage_error ( y_true , y_score ) 1.5 On...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
root_mean_squared_log_error — scikit-learn 1.8....
point value (the best value is 0.0), or an array of floating point...User Guide . Added in version 1.4. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html -
v_measure_score — scikit-learn 1.8.0 documentation
v_measure_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> v_measure_score...v_measure_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
silhouette_score — scikit-learn 1.8.0 documenta...
value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ]...default=0 Tweedie power parameter. Either power <= 0 or power...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
balanced_accuracy_score — scikit-learn 1.8.0 do...
= [ 0 , 1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 , 0...The best value is 1 and the worst value is 0 when adjusted=False...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
rand_score — scikit-learn 1.8.0 documentation
rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) 0.83 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html