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True/false database maximal frequent item sets should be a subset of closed frequent item sets. the...

True/false database

maximal frequent item sets should be a subset of closed frequent item sets.

the chi-square test can be used on correlated data and tell us if an association rule is interesting or not.

sentiment analysis can help us classify data in preset classification such as positive, negative & neutral.

in tensorflow image classification, the label is the "answer" or " prediction result"

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1) True. Yes, the maximal frequent item set is a subset of the closed frequent itemset and both are a subset of the Frequent itemset.

When it is the efficiency which is considered more than that of the space then it is the closed frequency item set is more used

2) True as it the correlation analysis which is being used by the Chi-Square test

3) True. The sentimental analysis is an automated process for getting to know the opinion with respect to the subject.

4) False, it also has to be the classifier's name and details.

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