1 The target variable in supervised machine learning is Input variable in machine learning technique outcome you aim to classify or predict is a varible to calculate cost function all of the above 1 points Question 2 Classification predicts the continous variable both categorical and continous variable categorical class None of the above 1 points Question 3 Support for an item A in a dataset is calculated by Total number of transactions containing A Number of transactions not containing A Number of transactions containing A / Total number of transactions Total number of transactions / Number of transactions containing A 1 points Question 4 In association rule, what does A --> B mean? Explain in 1-2 sentences For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). p 0 words Powered by Tiny 1 points Question 5 Consider the given transactions in the data: TID Transaction T1 A,B,D,F T2 C,D,F T3 A,B,D T4 B, E, F T5 A, E What is the support and confidence for itemset {A, D}, if A is antecdent and D is consequent. Support - 0.4 and confidence - 0.75 Support - 0.66 and confidence - 0.4 Support - 0.4 and confidence - 0.66 Support