model selection
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Statistical Learning Theory: VC Dimension, Structural Risk Minimization
Sometimes our models overfit, sometimes they overfit. A model’s capacity is, informally, its ability to fit a wide variety of functions. As a simple example, a linear regression model with a single parameter has a much lower capacity than a linear regression model with multiple polynomial parameters. Different datasets demand models of different capacity, and…
