Topic Thread

#ml

2 published observations tracking this thread.

Train, Validation, and Test Sets: The Simplest Way to Stop Fooling Yourself

A model can look excellent because you accidentally gave it information about the evaluation set. Train/validation/test discipline is how you separate learning from measurement.

2026-09-19#machine learning · #evaluation

AI & Data3 min read

Feature Engineering Without Leakage: Turning Raw Data Into Useful Signals Safely

A strong feature is useful only if the same information would genuinely be available when the model has to make its prediction.

2026-09-19#machine learning · #feature engineering