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joseph1Begginer

Asked: May 29, 2025In: Artificial Intelligence

What's the best way to normalize data without leaking info from the test set into the training process?

I used StandardScaler on the entire dataset before splitting, and later realized that might be wrong. How should I handle scaling correctly to avoid leakage?

DavidBegginer

Asked: May 29, 2025In: Machine Learning

I trained my model, but it's performing too well on validation — could this be data leakage? How do I check for that?

I’m seeing 98–99% accuracy on my validation set, but when I test on truly unseen data, the performance drops significantly. Suspecting some leakage but not sure where it’s happening

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Hassaan Arif

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