To "overfit" the data is to adjust the data until it matches our desired classification tree.

Question

Quizplus · Accepted Answer

We do not "overfit" the data by adjusting the data. Rather, we "overfit" the data by developing an overly complex classification tree (or other model) that fits the observed data too closely and thus fails to capture the real underlying data patterns that would help to accurately predict and/or classify future observations.

To "Overfit" the Data Is to Adjust the Data Until