KNN CLASSIFIER

DA2 ML VITOL PART3

 

A	B	C	D	Output
Some	High	False	French	Yes
Full	Low	False	Thai	No
Some	Low	False	Burger	Yes
Full	Low	False	Thai	Yes
Full	High	False	French	No
Some	Normal	True	Italian	Yes
None	Low	True	Burger	No
Some	Normal	True	Thai	Yes
Full	Low	True	Burger	No
Full	High	False	Italian	No
None	Low	False	Thai	Yes
Full	Low	False	Burger	Yes

 

 

1. Let the testing instance be (A = Full, B = Normal, C=False, D=Thai). Using K as values ranging from 1 to 10, identify the output.
2. Implement KNN classifier for the dataset by varying K from 1 to 10. (Use training dataset as testing dataset). Draw graphs representing accuracy with value of K for the testing dataset. Identify the minimum value of ‘K’ that is optimum.