Which of the following statement is true about k-NN algorithm?1) k-NN performs much better if all of the data have the same scale2) k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large3) k-NN makes no assumptions about the functional form of the problem being solved

Machine learning (ML) is a branch of artificial intelligence that leverages data to improve computer performance by giving machines the ability to "learn", or improve performance — based on the data.

There are four basic approaches to machine learning: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.