Cross Validation Fundamentals
Claudia explains the importance of cross validation in machine learning, emphasizing the need to evaluate models on unseen data to prevent overfitting. She delves into the significance of stratification in cases with few positive examples, ensuring model calibration and maintaining base rates for accurate evaluations.In this clip
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