Consider the following data:

Average cost of wafers = Rs. 35

Average cost of chocolates = Rs. 37

Standard deviation of cost of wafers = 2.0

Standard deviation of cost of chocolates = 3.0

Correlation coeff‌icient between the costs of chocolates and wafers = 0.7

What will be the expected cost of chocolates when the cost of wafers is Rs. 40?

In association rule mining, an itemset is considered to be closed in which of the following situations?

It is given that a and b are two independent binomial variables having parameters 3,114 and 2,1/4, respectively. Find P (a + b 21).

The bag-of-words model is used in which of the following text mining processes?

For a group of 12 students, the sum of squares of differences in their ranks for science and math is given as 60. On the basis of the given information. find the value of rank correlation coefficient.

While calculating rank correlation coeff‌icient between sales and expenditure for a time period of12 years. the difference in rank for a year was mistakenly taken as 9 instead of 7 and as a result, the value Of rank correlation coefficient was calculated as 0.79. If the mistake is rectified, then what will be the approximate correct value of rank correlation coeff‌icient?

Consider the following data: Average cost of wafers = Rs. 35 Average cost of chocolates = Rs. 37 Standard deviation of cost of wafers = 2.0 Standard deviation of cost of chocolates = 3.0 Correlation coeff‌icient between the costs of chocolates and wafers = 0.7 What will be the expected cost of chocolates when the cost of wafers is Rs. 40?

While working in a Pylab environment, which of the following options do NOT need to be imported?

Consider the following list: squares_list = [2. 3. 5. 2. 8. 9. 7. 6} What will be the output of the following Python command? squares_list[-2]

Which of the following data mining algorithms is applied to a database containing a large number of transactions and also learns association rules?

Which of the following fundamental measures used for assessing the quality of text retrieval represent(s) the percentage of retrieved documents relevant to a query?