File:Overfitting Example with Generalization.png
Summary
| Description |
English: This figure illustrates the relationship between overfitting and the generalization error I[f_n] - I_S[f_n]. In the left column, a set of training points is shown in black, while another sample from the same iid distribution is shown by the black points in the right column. The samples are drawn from a noisy version of the relationship y = x^2. In the top row, a quadratic polynomial is fit to the training sample, while in the bottom row, a fifth-order polynomial is fit. Overfitting takes place when the fifth-order polynomial is fit. While the empirical error on the training set is low, the expected error is high, as it is if another sample is used. |
| Date | |
| Source | Own work |
| Author | Agkonings |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
