K-Nearest ALGORITHM

Which is the number of nearby neighbours to be used to classify the new record ?

• KNN

• Validation data

• Euclidean Distance

• All the above

Which capture the local structure in data ?

• Low Value

• High Value

• Error Rate

• All the Above

Which provide more smoothing, less noise ?

• Low Value

• High Value

• Error Rate

• All the Above

Income, Lot size belongs to?

• Predictor

• Data

• Error Rate

• None of these

Classification done in Euclidean distance is comparing feature vectors of ?

• Same Point

• Within Point

• Different Point

• Noneof these

Select K Average test Error?

• Minimum

• Maximum

• Null

• None of these