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When calculating the frequent itemsets and rules, is possible to get the raw numbers needed to build a confusion matrix?
E.g.: After executing this:
frequent_itemsets = apriori(data, min_support=0.2, use_colnames=True) rules = association_rules(frequent_itemsets, metric="support", min_threshold=0.2)
Is a way to build a confusion matrix like this?:
The text was updated successfully, but these errors were encountered:
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When calculating the frequent itemsets and rules, is possible to get the raw numbers needed to build a confusion matrix?
E.g.: After executing this:
Is a way to build a confusion matrix like this?:
The text was updated successfully, but these errors were encountered: