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overfitting

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underfitting generalization variance bias model training validation testing dataset noise complexity regularization dropout weight parameter hyperparameter learning algorithm regression classification accuracy precision recall epoch iteration batch stochastic lasso ridge pruning generalize fit convergence divergence overcapacity sparsity normalization standardization sampling augmentation outlier residual coefficient feature dimension kernel manifold interpolation extrapolation

Last Updated: July 7, 2026•Report an Error

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