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Overfitting vs underfitting

Overfitting memorizes noise; underfitting is too simple to capture the real pattern.

Machine Learning Easy Theory

Overfitting vs underfitting

Overfitting memorizes noise; underfitting is too simple to capture the real pattern.

  • Overfit has low train and poor test performance
  • Underfit performs poorly everywhere
  • Control with data, features, and regularization
#generalization #ml #modeling

Overfitting vs underfitting