Question

Which of the following option is true about k-NN algorithm?

Answer 1

Answer:

KNN is a non-parametric, lazy learning algorithm. Its purpose is to use a database in which the data points are separated into several classes to predict the classification of a new sample point. Just for reference, this is “where” KNN is positioned in the algorithm list of scikit learn

Answer 2

Which of the following option is true about the k-NN algorithm? a) It can be used for classification b) It can be used for regression c) It can be used in both classification and regression

The k-NN algorithm can be used in both classification and regression.

(option c)

• The k-NN algorithm is a classification algorithm and it is a widely used learning algorithm.
• Also referred to as a lazy learner, as it doesn't immediately learn from the provided data set, it stores them at first.
• When the time comes for classification, it begins its action.
• The K-NN algorithm doesn't take any parameters.
• The k-NN algorithm can be also used in regression problems.
• Based on the mean or median of the k most similar cases prediction is made.

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