On the dataset below, Implement and test the K-NN classifier using different K values:

a. Make sure that you can easily adjust the K parameter.

b. Show that you are testing the classifier properly by following the correct testing process

You are only allowed to use the numpy and matplotlib libraries.

The data shows: (x coordinate, y coordinate, classification either negative=0 or positive=1)

1 7.1 6.8 6.5 6.3 4.7 4.4 5.3 4.4 1 1 1 1 1 1 1 3.8 1 1 1 0 4.8 4.6 4.5 4.4 3.4 3.5 3.4 3.8 4.7 5.8 5.8 5.8 5.8 5.7 5.6 5.5 5.3 5.1 5.1 5 4.9 4.5 3.9 3.4 3.1 0 0 0 0 0 4.8 4.8 7.6 7.7 7.7 7.8 7.9 8.1 8.1 8.2 8.2 8.2 8.1 8 7.8 7.6 0 0 0 0 0 0 0 0 1 7.1 6.8 6.5 6.3 4.7 4.4 5.3 4.4 1 1 1 1 1 1 1 3.8 1 1 1 0 4.8 4.6 4.5 4.4 3.4 3.5 3.4 3.8 4.7 5.8 5.8 5.8 5.8 5.7 5.6 5.5 5.3 5.1 5.1 5 4.9 4.5 3.9 3.4 3.1 0 0 0 0 0 4.8 4.8 7.6 7.7 7.7 7.8 7.9 8.1 8.1 8.2 8.2 8.2 8.1 8 7.8 7.6 0 0 0 0 0 0 0 0