If {A,B,C,D} is a frequent itemset, candidate rules which is not possible is

Related MCQs

• Given a frequent itemset L, If |L| = k, then there are
• If an item set ‘XYZ’ is a frequent item set, then all subsets of that frequent item set are
• To determine association rules from frequent item sets
• A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?
• The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent,from being considered for counting support
• Frequent item sets is
• In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are
• Which of the following can act as possible termination conditions in K-Means? 1. For a fixed number of iterations. 2. Assignment of observations to clusters does not change between iterations. Except for cases with a bad local minimum. 3. Centroids do not change between successive iterations. 4. Terminate when RSS falls below a threshold.
• Suppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
• Choose the correct statement with respect to ‘confidence’ metric in association rules