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What is the best strategy to avoid data leakage in machine learning?
A
Include as many features as possible in the model to ensure no information is left out.
B
Perform feature engineering on the entire dataset before splitting into training, validation, and test sets.
C
Limit feature engineering to the training set only, excluding validation and test sets.
D
Use the most complex models available to capture every possible pattern in the data.
E
Train the model for an excessive number of iterations to ensure all patterns are learned.
