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Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Q. 81) If an item set ‘XYZ’ is a frequent item set, then all subsets of that frequent item set are
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Q. 82) Clustering is ___________ and is example of ____________learning
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Q. 83) To determine association rules from frequent item sets
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Q. 84) If {A,B,C,D} is a frequent itemset, candidate rules which is not possible is
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Q. 85) Which Association Rule would you prefer
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Q. 86) This clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration
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Q. 87) Classification rules are extracted from _____________
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Q. 88) What does K refers in the K-Means algorithm which is a non-hierarchical clustering approach?
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Q. 89) How will you counter over-fitting in decision tree?
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Q. 90) What are two steps of tree pruning work?
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