Find AI Tools
H20 Driverless AI logo

H20 Driverless AI

automate feature engineering, optimize models, intuitive interface, drag-and-drop design for predictive models.

Try H20 Driverless AI free
  • Free plan available
  • No credit card

What is H20 Driverless AI?

H2O Driverless AI is an automated machine learning platform that simplifies predictive modelling for data scientists, analysts, and business users. It automates the traditionally time-consuming steps of machine learning workflows: feature engineering, model selection, hyperparameter tuning, and model interpretation. The platform uses a drag-and-drop interface to guide users through building models without requiring deep machine learning expertise, making it suitable for rapid prototyping and production deployments. Built by H2O.ai, it supports structured data problems including classification, regression, and time series forecasting. The platform emphasises model explainability, providing insights into why models make specific predictions, which is crucial for regulated industries and business stakeholders who need to understand model decisions.

Key features

Automated feature engineering

automatically generates and selects relevant features from raw data

Model selection and comparison

tests multiple algorithms and automatically selects the best performer

Hyperparameter optimisation

fine-tunes model parameters without manual intervention

Model explainability

provides Shapley values and other interpretability metrics

Time series support

handles temporal data and sequential patterns

Data preprocessing

automatic handling of missing values, scaling, and encoding

Ensemble methods

combines multiple models for improved accuracy

Drag-and-drop workflow

visual interface for building pipelines

Pros & cons

Advantages

  • Significantly reduces time to build production-ready models
  • Requires minimal machine learning knowledge, democratising access to AutoML
  • Built-in model explanations aid regulatory compliance and stakeholder trust
  • Handles common data preparation tasks automatically
  • Suitable for rapid prototyping and experimentation
  • Supports both small and large datasets with scalable architecture

Limitations

  • Performance depends on data quality and relevance of input features
  • Computational resource requirements can be substantial for large datasets
  • Limited to structured tabular data; does not handle images, text, or audio natively
  • Advanced customisation may still require SQL or Python knowledge
  • Pricing for production deployments can be expensive for small teams

Use cases

Financial services: credit scoring, fraud detection, loan approval prediction

Business analytics: sales forecasting, customer churn prediction, demand planning

Healthcare: patient outcome prediction, disease risk assessment

Marketing: customer segmentation, campaign response modelling

Supply chain: inventory optimisation, delivery time forecasting

Ready to try H20 Driverless AI?

Try H20 Driverless AI free

Pricing

Free

Free

Limited AutoML capabilities, suitable for learning and small projects; restrictions on compute resources and dataset size

Pro

Contact sales

Full AutoML features, higher compute limits, priority support, suitable for professional use and team collaboration

Enterprise

Contact sales

On-premises deployment option, dedicated support, custom integrations, governance and compliance features

Get started with H20 Driverless AI

Click through to H20 Driverless AI and start using it now.

Try H20 Driverless AI free
  • Free plan available
  • No credit card