What is data leakage in a learning project?
Data leakage occurs when training or evaluation uses information that would not be available in the intended prediction setting, making reported performance misleading.
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More FAQs in How did machine learning contribute to the evolution of AI?
No. Many applications combine learned models with rules, search, constraints, or planning. Different methods solve different parts of a system's overall task.
Unseen evaluation data helps measure generalization. Without it, a system may appear successful because it memorized examples or exploited accidental patterns in the training set.
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