Why is the k-nearest neighbors regression called a lazy learner? a. Because k-nearest neighbors does not have
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Why is the k-nearest neighbors regression called a lazy learner?
a. Because k-nearest neighbors does not have embedded feature selection.
b. Because the k-nearest neighbors regression requires the standardization or normalization of the variables.
c. Because the k-nearest neighbors regression does not use training data to estimate model parameters or determine variable splitting rules, but instead directly uses the average of the k most similar training set observations as its predicted value for a new observation.
d. Because the k-nearest neighbors method does not require the use of a test set.
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Related Book For
Business Analytics
ISBN: 9780357902219
5th Edition
Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
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