Part 1:Using the standard data partitioning, partition the follwoing financial fraud dataset into training and testing.

Charges?	Size	Outcome
Y	small	truthful
N	large	truthful
N	large	fraud
N	small	truthful
N	small	truthful
Y	small	fraud
N	large	truthful
Y	large	fraud
N	small	truthful
Y	large	fraud

Part 2:The tiny dataset bellow incldues data collected from company's investing activities. The follwoing data represent traning set:

Column 1	Column 2	Result
20	2	Not invest
11	3	Invest
6	3	Invest
2	4	Invest
4	4	invest

And the following datarepresent testing set:

Column 1	Column 2	Result
17	3	Invest
9	6

The task is to use KNN to classify new data. To do so, you are required to check weither K=3 or K=5 is better. You need to provide your calculations.