Cardinality refers to the number of possible values that a feature can assume. For example, the variable “US State” is one that has 50 possible values. The binary features, of course, could only assume one of two values (0 or 1). The values of a categorical variable are selected from […]
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The post Feature Engineering Series Tutorial 2: Cardinality in Machine Learning appeared first on KGP Talkie.