ended5월 5일· 1 sources
Stop Cheating Your Models: The Golden Rule of Machine Learning Evaluation
AI의 ‘벼락치기’를 막아라: Machine Learning 모델의 신뢰도를 결정하는 황금률
Why it matters
Proper data splitting is critical to ensure AI models actually learn patterns rather than simply memorizing answers. By isolating test data, developers can prevent deceptive performance metrics and build systems that reliably perform in real-world scenarios.
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Machine LearningTrain/Test SplitData LeakageModel EvaluationGeneralizationscikit-learn