New method detects overfitting in AI models, ensuring more reliable results.
The article presents a new way to check if a model is too focused on the test data it was trained on, which can make its performance seem better than it really is. The researchers created a test that uses tricky examples from the test data to see if the model is overfitting. They tested this on image classification models using the ImageNet benchmark and found that the models were overfitting to the training data but not to the test data.
