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Data leakage: the silent killer of ML projects
Machine learning projects rarely fail because the algorithm is not advanced enough. More often, they fail because the model learned from information it would never have at prediction time.
Machine learning projects rarely fail because the algorithm is not advanced enough. More often, they fail because the model learned from information it would never have at prediction time.