As you have read the chapter and watched the lecture on chapter 5 from your textbox, your assignment this week is using the following guidelines:
1. Watch the Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning by Augmented Startups. Approx. 12 min
2. Data Table
|
TID
|
Bread
|
Peanuts
|
Milk
|
Fruit
|
Jam
|
Soda
|
Chips
|
Cheese
|
Yogurt
|
|
1
|
1
|
1
|
1
|
1
|
1
|
0
|
0
|
0
|
0
|
|
2
|
1
|
0
|
1
|
1
|
1
|
1
|
1
|
0
|
0
|
|
3
|
1
|
0
|
0
|
0
|
1
|
1
|
1
|
0
|
0
|
|
4
|
0
|
1
|
1
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
1
|
0
|
1
|
0
|
1
|
1
|
1
|
0
|
0
|
|
6
|
0
|
0
|
1
|
1
|
0
|
1
|
1
|
0
|
0
|
|
7
|
0
|
1
|
1
|
1
|
0
|
1
|
0
|
0
|
0
|
|
8
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
1
|
1
|
1. Using the market basket data above, answer the following questions. Make sure you show you work in this document.
a. What items represent Itemset (I)?
b. How many transactions in this market basket?
c. What is the support?
d. What is the confidence?
e. What is the lift?
f. What is the conviction?
2. Complete Steps 1-6 described in the video by using the market basket data table from above.