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# KNN Interview Questions and Answers

• September 08, 2022
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• ### Identify the distance matrix used in KNN Algorithm___________

• a) Euclidean Distance.
• b) Cosine Similarity.
• c) Manhattan Distance.
• d) All.

• ### ______ algorithm is widely used for different kinds of learnings because of its uncomplicated and easy to apply nature

• a) KNN.
• b) Clustering.

• ### Identify the false statement according to KNN disadavantage_________

• a) The cost of predicting the k nearest neighbours is very high.
• b) Doesn’t work as expected when working with big number of features/parameters.
• c) Hard to work with categorical features.
• d) Feature engineering is not possible.

Answer - a) The cost of predicting the k nearest neighbours is very high

• ### ______in KNN is a parameter that refers to the number of nearest neighbours to include in the majority of the voting process.

• a) K.
• b) First N.
• c) Second N.
• d) All of the above.

• ### Choosing _______values for k can be noisy and will have a higher influence on the result.

• a) Smaller k value.
• b) Standard k value.
• c) Larger k value.
• d) All of the above.

Answer - a) Smaller k value

• a) KNN.
• b) Kmeans.

• a) True.
• b) False.

• ### Higher dimension problem in KNN Algorithm _________

• a) Nearest data points.
• b) Curse of dimensionality.
• c) Variable curse.

Answer - a) Nearest data points

• ### The KNN algorithm can compete with the most accurate models because it makes________ predictions.

• a) Low accurate predictions.
• b) Standard accurate.
• c) High accurate predictions.

Answer - a) Low accurate predictions

• a) True.
• b) False.

• ### _______is to evaluate any technique in classification problem.

• a) Ease to interpret the output.
• b) Calculation time of the algorithm.
• c) Predictive Power.
• d) All.

Answer - a) Ease to interpret the output

• ### In KNN, increase in dimension also leads to the problem of ________.

• a) Underfitting.
• b) Overfitting.

• ### __________is the KNN function used for KNN algorithm in R programming

• a) KNN.
• b) Kneighborsclassifier.

• ### __________is the KNN function used for KNN algorithm in python programming

• a) KNN.
• b) K neighborsclassifier.

Answer - b) K neighbors classifier

• a) 3.
• b) 2.
• c) 4.
• d) 1.