Over-fitting
\ ˈoʊvər-ˈfɪtɪŋ \
The production of a statistical model that fits too closely to a given set of data.
A model that is over-fitted to its underlying data set will incorporate any random noise present in that data set. This is likely to result in the model providing a poor fit to other data sets and poor predictions for future observations.