• ⚠️ Without H2O AutoML: Lacks some advanced automated feature engineering found in commercial tools.
• ⚠️ Without H2O AutoML: User interface is minimal; primarily code-driven which may challenge beginners.
• ⚠️ Without H2O AutoML: Enterprise features require paid Driverless AI version.
• ⚠️ Without H2O AutoML: Limited native support for deep learning compared to specialized frameworks.