About this document
Why Your Model Overfits Despite Validation by q1740497416 is a document available to read on EtoBox.
The document discusses the use of validation sets in machine learning models and highlights the issue of overfitting despite their use. It presents models with varying performance metrics on training and validation sets, indicating that the validation set can influence model selection. The document concludes with a note on the importance of ensuring that the validation set is not treated as training data to avoid misleading results.
- Author
- q1740497416
- Language
- EN