Functional Value
Machine Learning Workbench to build & publish Machine Learning Models and Procedures.
- Selection of pre-defined algorithms (classification method),
- Training Models with tabular data sets ingested in batch mode,
- Evaluating Models effectiveness looking at generated key metrics (confusion matrix, accuracy, precision, recall, ROC, ...),
- Testing several Models with different settings and comparing versions to find the optimum one,
- Publishing validated Models and Procedures to be made available for usage in production.
User Experience Value
Applying scientific methods, processes & algorithms to extract knowledge and insights from massive amount of structured data