+**Model Selection** is the art of choosing the best [Statistical Model](/wiki/statistical_model) from a set of candidates for a given task. It navigates the trade-off between simplicity and complexity, aiming for optimal [Prediction](/wiki/prediction) on unseen data.
+## See also
+- [Machine Learning](/wiki/machine_learning)
+- [Overfitting](/wiki/overfitting)
+- [Cross-Validation](/wiki/cross-validation)
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