Question: Watch the Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning by Augmented Startups. Approx. 12 min updated link : https://www.youtube.com/watch?v=WGlMlS_Yydk Data Table TID
Watch the Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning by Augmented Startups. Approx. 12 min
updated link :
https://www.youtube.com/watch?v=WGlMlS_Yydk
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 |
Using the market basket data above, answer the following questions. Make sure you show you work in this document. (Note: Support threshold: 50%)
What items represent Itemset (I)?
How many transactions in this market basket?
What is the support?
What is the confidence?
What is the lift?
What is the conviction?
Complete Steps 1-6 described in the video by using the market basket data table from above. (Hint: Step 6 should produce the significant 3-itemset) Show your work!!
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