Explain OVERFITTING: A model of training data that, by taking too many of the data's quirks and outliers into account, is overly complicated and will not be as useful as it could be to find patterns in test data. See also outlier, cross-validation.
Different definitions in web development like overfitting in Dictionary O.
- Manual Outlier:
- Meaning “Extreme values that might be errors in measurement and recording, or might be accurate reports of rare events.”[downey] See also overfitting overfitting definition.
- Manual Objective Function:
- Meaning get as much (or as little) of something as possible, and the way you’ll get it is by changing the values of other quantities, you have an optimization problem...To solve an optimization problem, you overfitting explain.