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What value of k minimizes leave-one-out cross-validation error for this dataset? The k is  What is the resulting ACCURACY? (Round to 3 decimals)

What value of k minimizes leave-one-out cross-validation error for this dataset? The k is  What is the resulting ACCURACY? (Round to 3 decimals)

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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What value of k minimizes leave-one-out cross-validation error for this dataset?

The k is 

What is the resulting ACCURACY? (Round to 3 decimals)

3. K-nearest neighbor and cross-validation In the following questions you will consider a k-nearest neighbor classifier using Euclidean distance metric on a binary classification task. We assign the class of the test point to be the class of the majority of the k nearest neighbors. 7 5 3 2 1 2 3 6. 9 10 10
Transcribed Image Text:3. K-nearest neighbor and cross-validation In the following questions you will consider a k-nearest neighbor classifier using Euclidean distance metric on a binary classification task. We assign the class of the test point to be the class of the majority of the k nearest neighbors. 7 5 3 2 1 2 3 6. 9 10 10
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