evalml.data_checks.ClassImbalanceDataCheck

class evalml.data_checks.ClassImbalanceDataCheck(threshold=0.1)

Checks if any target labels are imbalanced beyond a threshold. Use for classification problems

name = 'ClassImbalanceDataCheck'

Instance attributes

Methods:

__init__	Check if any of the features are likely to be ID columns.
validate	Checks if any target labels are imbalanced beyond a threshold for binary and multiclass problems Ignores nan values in target labels if they appear

evalml.data_checks.NoVarianceDataCheck.validate evalml.data_checks.ClassImbalanceDataCheck.__init__