UCI Business Administration Statistics Question
Algorithm Activity – CLO 1, CLO 2, CLO 3, CLO 6, CLO 7
Explain the k-nearest neighbors algorithm for prediction, accompanied by a simple example.
View the Activity Grading Rubric.
Professional Assignment 1 – CLO 1, CLO 2, CLO 3, CLO 6, CLO 7
- 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 2.
- Construct the k nearest neighbors scheme for predicting upgrades based on the data given in Table 2, and interpret the confusion matrix.
- According to the data given in part 1, estimate the probability of upgrade for each division of the purchase amount, using Bayes’ theorem.
View the Activity Grading Rubric.
Table 2
Data on the Amount of Shopping and the decision to Upgrade
|
UpGrade |
Purchases |
PlatProfile |
RowNear 1 |
RowNear 2 |
RowNear 3 |
RowNear 4 |
|
|---|---|---|---|---|---|---|---|
|
1 |
0 |
7.471 |
0 |
7 |
40 |
26 |
29 |
|
2 |
0 |
21.142 |
0 |
33 |
10 |
25 |
14 |
|
3 |
1 |
39.925 |
1 |
17 |
19 |
37 |
38 |
|
4 |
1 |
32.450 |
1 |
32 |
22 |
39 |
38 |
|
5 |
1 |
48.950 |
1 |
9 |
11 |
31 |
24 |
|
6 |
0 |
28.520 |
1 |
35 |
20 |
32 |
4 |
|
7 |
0 |
7.822 |
0 |
40 |
1 |
26 |
29 |
|
8 |
0 |
26.548 |
0 |
36 |
13 |
25 |
33 |
|
9 |
1 |
48.831 |
1 |
5 |
11 |
31 |
24 |
|
10 |
0 |
17.584 |
0 |
14 |
2 |
29 |
33 |
|
11 |
1 |
49.820 |
1 |
5 |
9 |
31 |
15 |
|
12 |
1 |
50.450 |
0 |
21 |
18 |
28 |
23 |
|
13 |
0 |
28.175 |
0 |
36 |
8 |
34 |
25 |
|
14 |
0 |
16.200 |
0 |
10 |
29 |
2 |
33 |
|
15 |
1 |
52.978 |
1 |
31 |
27 |
11 |
5 |
|
16 |
1 |
58.945 |
1 |
27 |
15 |
31 |
11 |
|
17 |
1 |
40.075 |
1 |
3 |
37 |
19 |
38 |
|
18 |
1 |
42.380 |
0 |
28 |
23 |
12 |
21 |
|
19 |
1 |
38.110 |
1 |
3 |
17 |
38 |
39 |
|
20 |
1 |
26.185 |
1 |
35 |
6 |
32 |
4 |
|
21 |
0 |
52.810 |
0 |
12 |
18 |
28 |
23 |
|
22 |
1 |
34.521 |
1 |
39 |
38 |
4 |
19 |
|
23 |
0 |
34.750 |
0 |
30 |
28 |
34 |
13 |
|
24 |
1 |
46.254 |
1 |
9 |
5 |
11 |
37 |
|
25 |
0 |
24.811 |
0 |
33 |
8 |
36 |
13 |
|
26 |
0 |
4.792 |
0 |
1 |
7 |
40 |
29 |
|
27 |
1 |
55.920 |
1 |
15 |
16 |
31 |
11 |
|
28 |
0 |
38.620 |
0 |
18 |
23 |
30 |
34 |
|
29 |
0 |
12.742 |
0 |
14 |
40 |
10 |
7 |
|
30 |
0 |
31.950 |
0 |
34 |
23 |
13 |
36 |
|
31 |
1 |
51.211 |
1 |
11 |
15 |
5 |
9 |
|
32 |
1 |
30.920 |
1 |
4 |
6 |
35 |
22 |
|
33 |
0 |
23.527 |
0 |
25 |
2 |
8 |
36 |
|
34 |
0 |
30.225 |
0 |
30 |
13 |
36 |
8 |
|
35 |
0 |
28.387 |
1 |
6 |
20 |
32 |
4 |
|
36 |
0 |
27.480 |
0 |
13 |
8 |
25 |
34 |
|
37 |
1 |
41.950 |
1 |
17 |
3 |
19 |
24 |
|
38 |
1 |
34.995 |
1 |
39 |
22 |
4 |
19 |
|
39 |
0 |
34.964 |
1 |
38 |
22 |
4 |
19 |
|
40 |
0 |
7.998 |
0 |
7 |
1 |
26 |
29 |
|
41 |
42.571 |
1 |
– |
– |
– |
– |
|
|
42 |
51.835 |
0 |
– |
– |
– |
– |
Collepals.com Plagiarism Free Papers
Are you looking for custom essay writing service or even dissertation writing services? Just request for our write my paper service, and we'll match you with the best essay writer in your subject! With an exceptional team of professional academic experts in a wide range of subjects, we can guarantee you an unrivaled quality of custom-written papers.
Get ZERO PLAGIARISM, HUMAN WRITTEN ESSAYS
Why Hire Collepals.com writers to do your paper?
Quality- We are experienced and have access to ample research materials.
We write plagiarism Free Content
Confidential- We never share or sell your personal information to third parties.
Support-Chat with us today! We are always waiting to answer all your questions.
