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What can be a simple sign of overfitting?

Answer and explanation

Correct answer: Very good performance on training data but weak performance on new data

Overfitting occurs when a model learns the training data too specifically and may partly memorize it. Consequently, it performs very well on training data but poorly on unseen or test data. Option B suggests better generalization, whereas options C and D describe failures or missing inputs rather than overfitting.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 2: Data Science MethodologyOverfittingModel EvaluationGeneralizationUnit 2 Data Science Methodology

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