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Demonstrating the different strategies of KBins...
. max (), 300 ), np . linspace ( X [:, 1 ] . min (), X [:, 1...set_ylim ( yy . min (), yy . max ()) ax . set_xticks (()) ax . set_yticks...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
coverage_error — scikit-learn 1.7.2 documentation
[[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score = [[ 1 , 0 , 0 ],...References [ 1 ] Tsoumakas, G., Katakis, I., & Vlahavas, I. (2010). Mining...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
EfficiencyWarning — scikit-learn 1.7.2 document...
specific Warning class. Added in version 0.18. On this page This...exception sklearn.exceptions. EfficiencyWarning [source] # Warning used...scikit-learn.org/stable/modules/generated/sklearn.exceptions.EfficiencyWarning.html -
sklearn.manifold — scikit-learn 1.7.2 documenta...
top Ctrl + K GitHub Choose version sklearn.manifold # Data embedding...embedding for non-linear dimensionality reduction. TSNE T-distributed...scikit-learn.org/stable/api/sklearn.manifold.html -
sklearn.kernel_ridge — scikit-learn 1.7.2 docum...
top Ctrl + K GitHub Choose version sklearn.kernel_ridge # Kernel...Kernel ridge regression. User guide. See the Kernel ridge regression...scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
root_mean_squared_log_error — scikit-learn 1.7....
y_true = [ 3 , 5 , 2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4 , 8 ] >>>...root_mean_squared_log_error ( y_true , y_pred ) 0.199... On this page This...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_log_error.html -
matthews_corrcoef — scikit-learn 1.7.2 document...
= [ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , - 1 , + 1 , +...+ 1 ] >>> matthews_corrcoef ( y_true , y_pred ) -0.33 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
dcg_score — scikit-learn 1.7.2 documentation
Systems (TOIS), 20(4), 422-446. Wang, Y., Wang, L., Li, Y., He, D.,...D., Chen, W., & Liu, T. Y. (2013, May). A theoretical analysis...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
zero_one_loss — scikit-learn 1.7.2 documentation
zero_one_loss ( np . array ([[ 0 , 1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...[ 2 , 2 , 3 , 4 ] >>> zero_one_loss ( y_true , y_pred ) 0.25 >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
additive_chi2_kernel — scikit-learn 1.7.2 docum...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,..., 1 , 0 ]] >>> additive_chi2_kernel ( X , Y ) array([[-1., -2.],...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html