Which of the following best describes the concept of 'data leakage' in model evaluation?
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A
Training data accidentally deleted during preprocessing
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B
Information from outside the training window improperly influencing the model
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C
Random noise added to features during augmentation
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D
Features with low variance being dropped before evaluation