+Generalization is the ability to apply learned knowledge to new, unseen situations. It is the essence of true [Learning](/wiki/learning), moving beyond specific examples to form broader rules for accurate [Prediction](/wiki/prediction). A well-generalized model captures underlying patterns, rather than just memorizing data.
+## See also
+- [Induction](/wiki/induction)
+- [Overfitting](/wiki/overfitting)
+- [Bias-Variance Tradeoff](/wiki/bias-variance_tradeoff)