machine-learning
Overfitting in linear models
taught
How adding features or flexibility to a linear model can trade training fit for worse generalization.
Taught in
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Overfitting in linear models
Modern Machine Learning
Requires
- generalization required
- regression-evaluation-metrics required
Required by
- Learning curves required
- Ridge regression required
Local knowledge map
Local knowledge map
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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.