Machine Learning, Data Science, Overfitting, Underfitting.
Image by Author Opposite, overfitting is a situation when your model is too complex for your data. More formally, your hypothesis about data distribution is wrong and too complex — for example, your data is linear and your model is a high-degree polynomial. This situation is also called high