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A data set has 5,000 labeled examples. If you partition it into training and testing data using 5-fold cross-validation, each training set will contain (i). examples and a total of (i) examples, each test set will contain (i) models will be generated. O () 1000, (i) 4000, (i) 10 O () 4000, (i) 1000, (i) 10 O (1) 1000, (ii) 4000, (i) 5 O () 4000, (i) 1000, (i) 5

A data set has 5,000 labeled examples. If you partition it into training and testing data using 5-fold cross-validation, each training set will contain (i). examples and a total of (i) examples, each test set will contain (i) models will be generated. O () 1000, (i) 4000, (i) 10 O () 4000, (i) 1000, (i) 10 O (1) 1000, (ii) 4000, (i) 5 O () 4000, (i) 1000, (i) 5

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A data set has 5,000 labeled examples. If you partition it into training and testing data using 5-fold cross-validation, each training set will contain (). examples and a total of (i) O (1) 1000, (ii) 4000, (ii) 10 O (i) 4000, (i) 1000, (ii) 10 O (1) 1000, (i) 4000, (ii) 5 O () 4000, (i) 1000, (i) 5 examples, each test set will contain (ii) models will be generated.
Transcribed Image Text:A data set has 5,000 labeled examples. If you partition it into training and testing data using 5-fold cross-validation, each training set will contain (). examples and a total of (i) O (1) 1000, (ii) 4000, (ii) 10 O (i) 4000, (i) 1000, (ii) 10 O (1) 1000, (i) 4000, (ii) 5 O () 4000, (i) 1000, (i) 5 examples, each test set will contain (ii) models will be generated.
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Explain what is the purpose of a validation set, and how it differs from the test set. 

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