Apply the Apriori algorithm to the following data set:
Trans Id | Item Purchased |
101 | milk, bread, eggs |
102 | milk, juice |
103 | juice, butter |
104 | milk, bread, eggs |
105 | coffee, eggs |
106 | coffee |
107 | coffee, juice |
108 | milk, bread, cookies, eggs |
109 | cookies, butter |
110 | milk, bread |
The set of items is {milk, bread, cookies, eggs, butter, coffee, juice}. Use 2 for the minimum support value.
Apply the Apriori algorithm to the following data set: Trans Id Item Purchased 101 milk, bread,...
1. Apply the Apriori Algorithm Tasks: Apply the Apriori Algorithm to the following data set: Trans ID Items Purchased 101 milk, bread, eggs 102 milk, juice 103 juice, butter 104 milk, bread, eggs 105 coffee, eggs 106 coffee 107 coffee, juice 108 milk, bread, cookies, eggs 109 cookies, butter 110 milk, bread The set of items is {milk, bread, cookies, eggs, butter, coffee, juice). Use 2 for the minimum support value. You must show all candidate and large itemsets during the process: C., L, C2, L2 etc. until the algorithm terminates.
Problem 2. (Five in a Row) Write a program five_per_row.py that writes the integers 101 to 200 with five numbers per line. Hint: use the % operator. $ python3 five_per_row.py 101 102 103 104 105 106 107 108 109 110 ... 196 197 198 199 200
1. Find the 5-Number Summary and graph boxplots from a data set. The data are distances in feet of Mark McGwire and Sammy Sosa’s, home runs, respectively for the 1998 baseball season (they both broke Roger Maris’s home run record in 1998). - Which player has the longest distances? - Which player appears to have the most consistent distances? How can you tell from the boxplot? data: McGwire, Sosa 306, 371 420, 430 440, 440 350, 400 478, 370 425,...
Problem 1 The following data are from a research project on the effectiveness of a drug in reducing LDL cholesterol levels. While some patients in the study are assigned to the drug, others were given a placebo. Because the information about who is receiving the actual drug is kept confidential from those taking LDL measurements, that information is kept in a separate data set. Given below in Data Set A are the initial LDL cholesterol level of each individual before...
Each of the following three data sets represents the 1Q scores of a random sample For each data set, compute the mean and median. of adults. IQ scores are known to have a mean and median of 100. What is the mean of the sample of size 5? Full data set Sample of Size 5 104 108 105 91 Type an integer or decimal rounded to one decimal place as needed.) What is the mean of the sample of size...
1. For each set below, using Excel, construct a. a frequency distribution, b. a relative frequency distribution, and c. a cumulative relative frequency distribution. Consider whether or not you should group your data. Describe how you determined your bin width, if you grouped the data in intervals. Set 1 75 95 103 100 93 91 90 92 89 105 86 85 81 96 103 99 94 95 91 97 92 107...
$ $1,390.000 % 100.0% $574,700 $105,000 100 101 102 Net sales $1,390,000 103 Gross margin $574,700 104 Profit $105,000 105 106 Net Sales Problem One 107 -COGS 108 =GM 109 -Expenses 110 =Profit/Loss 111 11.Skeletal Profit and Loss Statement: Set up skeletal profit and loss statement in both dollars and percentage 112 given the information. 113 Gross margin $535,000 114 Gross margin 25% 115 Expenses $625,000 116 117 Net Sales Problem Two 118 -COGS 119 =GM 120 -Expenses 121 =Profit/Loss...
Complete the following table and answer the accompanying questions Contral total Cost C( Benefits N(O) Benefit MC Marginal Ret BeneFit MNB MC 1,209 1,400 1,590 10e 101 102 103 104 105 106 107 108 109 950 210 60 80 1,940 2,100 2,250 2,390 2,520 2.640 2,750 100 110 120 130 140 150 166 110 a. At what level of the control variable are net benefits maximized? b. What is the relation between marginal benefit and marginal cost at this level...
Chapter 1 Problems Saved Help Save & Exit Submit Check my work 6 Complete the following table and answer the accompanying questions rgina Benefit MNB (O) Total Control Variable Q Benefits B(Q) Total Cost Net Benefits Marginal Marginal Cost c(e) MC (Q) 60 70 80 90 100 110 120 130 140 150 160 Benefits N(Q) Benefit MB (Q) 10 points 100 101 102 103 104 105 106 107 108 109 110 1,200 ,400 ,590 ,770 1,940 2,100 2,250 2,390 2,520...
Required information [The following information applies to the questions displayed below.] Davis Stores sells clothing in 15 stores located around the southwestern United States. The managers at Davis are considering expanding by opening new stores and are interested in estimating costs in potential new locations. They believe that costs are driven in large part by store volume measured by revenue. During a discussion, one of the managers suggests that number of employees might be better at explaining cost than store...