evalml.data_checks.ClassImbalanceDataCheck¶
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class
evalml.data_checks.
ClassImbalanceDataCheck
(threshold=0.1, min_samples=100, num_cv_folds=3)[source]¶ Checks if any target labels are imbalanced beyond a threshold. Use for classification problems
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name
= 'ClassImbalanceDataCheck'¶
Methods:
Check if any of the target labels are imbalanced, or if the number of values for each target
Checks if any target labels are imbalanced beyond a threshold for binary and multiclass problems
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Class Inheritance¶
