Václav Volhejn

min read
Machine Learning

Your validation set won’t tell you if a model generalizes. Here’s what will.

As we all know from machine learning 101, you should split your dataset into three parts: the training, validation, and test set. You train your models on the training set. You choose your hyperparameters by selecting the best model from the validation set. Finally, you look at your accuracy (F1 score, ROC curve...) on the test set. And voilà, you’ve just achieved XYZ% accuracy.
Václav Volhejn
December 1, 2023
Activate
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.