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v. Explain how you will separate the dataset into the right percentages or partitions before subjecting it to your chosen algorithm. [3 marks] vi Do

v. Explain how you will separate the dataset into the right percentages or partitions before subjecting it to your chosen algorithm. [3 marks]

vi Do you think prediction or forecasting can be made from your chosen model implemented from the algorithm used? If yes, how can prediction be made for new input values. [3 marks]

vii Give with valid evidence the type of probability model used to subject the 300 sampled products to test. [2 marks]

b) Consider the following set of frequent 3-itemsets {1,2,3}, {1,2,4}, {1,3,4}, {1,3,5}, {2,3,4}

i List all candidate 4-itemsets obtained using the candidate generation step of the Apriori algorithm. [4 marks]

ii List all candidate 4-itemsets that survive the candidate pruning step of the Apriori algorithm before support counting. [4 marks]

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