Question

The following statement is given, will it be true or false? In K nearest neighbour algorithm, the computational complexity for classifying new data points grow exponentially with the number of training data points in the worst-case scenario. a. true b. false

Answer 1

Answer:

K Nearest Neighbor(KNN) is a very simple, easy to understand, versatile and one of the topmost machine learning algorithms. KNN used in the variety of applications such as finance, healthcare, political science, handwriting detection, image recognition and video recognition. In Credit ratings, financial institutes will predict the credit rating of customers. In loan disbursement, banking institutes will predict whether the loan is safe or risky. In political science, classifying potential voters in two classes will vote or won’t vote. KNN algorithm used for both classification and regression problems. KNN algorithm based on feature similarity approach.