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Cramer's V is a measure of association between nominal (categorical) variables. Useful for feature selection, comparing clusterings, potentially evaluating splits in Decision Trees trained on purely categorical data, etc.
Cramer's V is a measure of association between nominal (categorical) variables. Useful for feature selection, comparing clusterings, potentially evaluating splits in Decision Trees trained on purely categorical data, etc.