Select the correct option(s). Note that there might be multiple correct options. 1. Why is training error generally lower than validation error even on large randomly split datasets?: A. Training data are always casier than validation data. B. Models tend to fit to noise present in the training set but not in the valida- tion set (increasing variance). C. Models tend to lack the ability to fit relationships on the training datasct (increasing bias). D. This does not happen in practice.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Select the correct option(s). Note that there might be multiple correct options.
1.
Why is training error generally lower than validation error even on
large randomly split datasets?:
A. Training data are always casier than validation data.
B. Models tend to fit to noise present in the training set but not in the valida-
tion set (increasing variance).
C. Models tend to lack the ability to fit relationships on the training dataset
(increasing bias).
D. This does not happen in practice.
Transcribed Image Text:Select the correct option(s). Note that there might be multiple correct options. 1. Why is training error generally lower than validation error even on large randomly split datasets?: A. Training data are always casier than validation data. B. Models tend to fit to noise present in the training set but not in the valida- tion set (increasing variance). C. Models tend to lack the ability to fit relationships on the training dataset (increasing bias). D. This does not happen in practice.
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