Learn ORANGE with Real Code Examples

Best suited for small to medium datasets

Widgets provide instant feedback, but may be slow for large data

Use Python scripts for batch or repetitive tasks

Leverage scikit-learn integration for optimized algorithms

Simplify workflows to maintain responsiveness

Secure exported data and models

Validate input datasets before processing

Use virtual environments to isolate Python dependencies

Follow organization IT policies when handling sensitive data

Audit scripts and workflows if shared among multiple users

Visualize evaluation metrics via Test & Score

Track feature importance and predictions

Compare multiple learners in workflows

Log results for reporting and research

Monitor runtime and workflow performance

Organize scripts and workflows logically

Document widget usage and connections

Maintain reproducible datasets

Version control Python scripts and workflows

Test workflows with sample and full datasets