4. Assume you have the data set shown below. The data contains 10 instances, V1-V11 features, and a binary class (0 and 1). Instance V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 Category
1 1 2 3 1 0 1 3 4 5 10 10 1
2 0 1 2 4 6 3 2 5 5 9 9
3 1 2 4 3 6 5 7 9 8 10 10 0
4 10 3 5 9 8 4 7 6 4 4 0
5 2 1 10 8 9 1000 1 3 7 8 8 0
6 2 2 -100 5 7 8 10 1 1 1
7 9 9 9 9 9 9 9 9 9 9 9 0
8 2 4 6 3 10 1 200 1 7 7 1
9 6 6 6 6 0 0 0 0 0 0 0 1
10 5 5 5 5 5 5 5 5 5 5 5 1

Show all of the problems with the data, apply all of the preprocessing techniques, and perform the classification by KNN algorithm with an 80/20 train-test split ratio. I only need the code for the KNN algorithm.