Overfitting vs Underfitting in Machine Learning -

Overfitting vs Underfitting: What's the Difference? overfitting Overfitting describes when a model becomes too sensitive to noise in its training set, leading it to not generalize, or to generalize poorly, to new data overfitting Play Overfitting Disco on SoundCloud and discover followers on SoundCloud

overfitting Overfitting is a common problem in machine learning that occurs when a model becomes too aligned with the training data