Overfitting

Overfitting is a modeling error that occurs when a function is too closely fit to a limited set of data points. Overfitting the model generally takes the form of making an overly complex model to explain idiosyncrasies in the data under study.

Overfitting is a key component of any successful machine learning project, as it can have a significant impact on the performance of your models.