Overfitting and Underfitting in Machine Learning

Introduction:- Note: use this link to check out our original article on model fitting in machine learning A common danger in Machine learning is overfitting, producing a model that performs well on training data, but that generalizes very poorly on new data or test data or we can say unseen data. Th

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DataScience Daily - ⚠️Overfitting and underfitting are the two biggest causes for poor performance of machine learning algorithms. . 👉🏼 Overfitting refers to a model that models the training data too well.

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