Frequent item sets is

Related MCQs

• If an item set ‘XYZ’ is a frequent item set, then all subsets of that frequent item set are
• In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are
• To determine association rules from frequent item sets
• The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent,from being considered for counting support
• If {A,B,C,D} is a frequent itemset, candidate rules which is not possible is
• Given a frequent itemset L, If |L| = k, then there are
• Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?
• You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem?
•               performs a PCA with non-linearly separable data sets.
• Binarize parameter in BernoulliNB scikit sets threshold for binarizing of sample features.