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0:53
YouTube
Anshum Rankawat
Overfitting Explained in Machine Learning #Overfitting #MachineLearning #DataScience #AI
Overfitting in machine learning happens when a model learns noise instead of the true pattern. The model performs extremely well on training data but fails on validation or test data. This failure is called the generalization gap. As model complexity or capacity increases, variance increases and the model becomes overly sensitive to training ...
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