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What is the main issue with data leakage in machine learning?
A
It can cause underfitting of the model.
B
It increases the computational complexity of the algorithm.
C
It leads to overfitting of the model.
D
It introduces information from the validation or test set into the training set, leading to overly optimistic performance estimates.
