Overfitting is a concept in data science, which occurs when a statistical model fits exactly against its training data.
We can argue over the precise definition of overfitting, but when you fitting a high-capacity model exactly to the training data, that is a procedural question and I would argue falls under the overfitting umbrella.
An overfitted model is a statistical model that contains more parameters than can be justified by the data.
Another definition from https://www.ibm.com/cloud/learn/overfitting#:~:text=Overfitt...:
Overfitting is a concept in data science, which occurs when a statistical model fits exactly against its training data.
We can argue over the precise definition of overfitting, but when you fitting a high-capacity model exactly to the training data, that is a procedural question and I would argue falls under the overfitting umbrella.