Questions
FA25_QTM_110_1 Quiz #11: Prediction, Machine Learning, and the Bias-Variance Tradeoff
Multiple choice
Which of the following are true about model variance?
Options
A.In general, as model complexity increases, model variance increases.
B.Model variance can be thought of as a model's sensitivity to the specific training data that was observed
C.As the size of the training data increases, model variance tends to decrease.
D.Adding features that are weakly correlated with the outcome will reduce the model bias but increase the model variance
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Step-by-Step Analysis
Let's break down each statement about model variance and examine what it means in machine learning.
Option 1: 'In general, as model complexity increases, model variance increases.' This aligns with the classic bias-variance tradeoff. More complex models can fit the training data more closely and become sensitive to idiosyncrasies in that data, leading to higher ......Login to view full explanationLog in for full answers
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