What technical hurdle occurs when a model learns the noise and random fluctuations in training data too well instead of the underlying patterns?
Answer
Overfitting
Overfitting causes the model to become an expert historian of the past, performing flawlessly on testing data but losing the ability to generalize accurately to new, unseen data points because the real world rarely repeats historical noise patterns exactly.
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