👉 Uppertendom, also known as a posteriori error, is a type of computational error that occurs when the model used to make predictions does not perfectly fit the data. This means that while the model makes accurate predictions for some data points, it fails to accurately predict the rest of the data. Uppertendom can be caused by multiple factors including overfitting, underfitting, or insufficiently complex models. Uppertendom is a common issue in machine learning

uppertendom