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Chapter 5 Overfitting and Its Avoidance (Recognize Overfitting …
Chapter 5 Overfitting and Its Avoidance
Definition
Generalization
Overfitting
Recognize Overfitting
Fitting graph
Holdout data/ test set
The accuracy of a model
Base Rate
Tree Induction
Sweet spot in the fitting graph
Mathematical functions
Conceptual level
Overfitting Linear Functions
Logistic regression
Support vector machine
The reason the overfitting is bad
How to avoid overfitting
Holdout evaluaiton
Cross validation
K-foldes
Learning curves
The differences between learning curves and fitting graphs
Complexity control
Regularization
Feature selection
L2-norm penalty
Tree pruning