FAQs

H2O Model Validation is an application that lets you assess the robustness and stability of trained H2O Driverless AI (DAI) models. You can use H2O Model Validation to avoid model degradation by performing various validation tests that reveal weaknesses and vulnerabilities in your datasets and models.

---

The below sections provide answers to frequently asked questions. If you have additional questions, please send them to cloud-feedback@h2o.ai.

General

Which specific validation tests are available to analyze and experiment or dataset?

H2O Model Validation offers an array of validation tests to analyze the robustness and stability of Driverless AI (DAI) experiments. Specific validation tests are available to analyze an experiment or dataset.

Validation tests for an experiment:

• Adversarial similarity
• Backtesting
• Drift detection
• Size dependency

Validation tests for a dataset:

• Adversarial similarity
• Drift detection

---

Feedback

• Submit and view feedback for this page
• Send feedback about H2O Model Validation to cloud-feedback@h2o.ai