Freaks City

Overfitting represents a fundamental challenge in predictive modeling where a system learns the training data too well, including its noise and outliers. This results in high performance on training datasets but a significant failure to generalize to unseen data. When a model overfits, it loses the ability to distinguish between the underlying ...