Question: 1. Select examples of classification data mining tasks. Computing the average of raw data. Recommending movies that you may like. Detecting stop signs on the

 1. Select examples of classification data mining tasks. Computing the average
of raw data. Recommending movies that you may like. Detecting stop signs
on the road. Detecting anomalous transactions in credit card. 2. Which of

1. Select examples of classification data mining tasks. Computing the average of raw data. Recommending movies that you may like. Detecting stop signs on the road. Detecting anomalous transactions in credit card. 2. Which of the following statements is correct? A. The number of features is always proportional to the performance of data mining techniques B. The number of features is always inversely proportional to the performance of data mining techniques C. Sparsity in the feature matrix is a critical factor for the performance of data mining techniques D. A and C E. A, B, and C 3 Tid Refund Marital Status Cheat Taxable Income Yes Single 125K No 2 No Married 100K No 3 No Single 70K No Yes Married 120K No No Divorced 95K Yes No Married 60K No 7 Yes Divorced 220K No No Single 85K Yes 9 No Married 75K No 10 No Single 90K Yes Select all possible columns that can be set as the label vector for data mining Tid Refund Cheat Marital Status Tacable income

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