1. Comparing normalized vs raw data Using knns with Euclidean distance and 3 nearest neighbors, compare the performance of a knn trained with the raw data vs. a knn trained with the normalized data. First, we need to divide the DataFrames as we did before. []....#TODO []....#TODO Now the actual building, fitting and testing of a knn classifier []..... [].....

1. Comparing normalized vs raw data Using knns with Euclidean distance and 3 nearest neighbors, compare the performance of a knn trained with the raw data vs. a knn trained with the normalized data. First, we need to divide the DataFrames as we did before. []....#TODO []....#TODO Now the actual building, fitting and testing of a knn classifier []..... [].....

Fundamentals of Information Systems

8th Edition

ISBN:9781305082168

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter4: Telecommunications And Networks

Section: Chapter Questions

Problem 3DQ

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1. Comparing normalized vs raw data

Using knns with Euclidean distance and 3 nearest neighbors, compare the performance of a knn trained with the raw data vs. a knn trained with the normalized data.

First, we need to divide the DataFrames as we did before.

[]....#TODO

Now the actual building, fitting and testing of a knn classifier

[].....

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