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.

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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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