Questions:
Data on the amount of the customers’ shopping by using an account card and whether they decided to upgrade their account from silver status to platinum status after receiving the upgrade offer is shown in Table 1.
- Construct the K-Nearest Neighbors scheme for predicting upgrades based on the data given in Table 1, and interpret the confusion matrix. (already completed and attached, just need to use the table and explain/interpret it in the final paper)
- According to the data given in part 1, estimate the probability of upgrade for each division of the purchase amount, using Bayes’ theorem.
Table 1
Data on the Amount of Shopping and the decision to Upgrade
1 = want to upgrade
0 = don’t want to upgrade
**avoid rows 41 and 42
-Question 1 is already completed (excel file attached), you just need to explain/interpret the table displayed in the attached file and also resolve entirely Question 2. You should also define both concepts before responding the answer of each question
Instructions
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