Which of the following statements are true?

A$.$

The more training examples, the more accurate the prediction of a k$-$nearest$-$neighbors.

B$.$

A k$-$nearest$-$neighbors is sensitive to outliers.

C$.$

Training a k$-$nearest$-$neighbors classifier takes more computational time than applying it