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Supervised Learning
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Regularization
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Effect on bias/variance
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672.
Regularization and Bias-Variance
easy
What is the general effect of adding regularization to a model on bias and variance?
A
It has no effect on bias or variance — regularization only affects the speed of convergence
B
It increases bias and decreases variance by constraining the model's parameter space
C
It decreases both bias and variance by smoothing the loss surface during optimization
D
It decreases bias and increases variance by allowing the model more flexibility to fit the data
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