Thresholdout: Down with Overfitting

Linear Digressions - Un podcast de Ben Jaffe and Katie Malone

Catégories:

Overfitting to your training data can be avoided by evaluating your machine learning algorithm on a holdout test dataset, but what about overfitting to the test data? Turns out it can be done, easily, and you have to be very careful to avoid it. But an algorithm from the field of privacy research shows promise for keeping your test data safe from accidental overfitting

Visit the podcast's native language site