Functional Value

Machine Learning Workbench new AutoML feature is a guided model-building experience that automates algorithm selection and hyperparameter tuning by :
- Enabling AutoML feature
- Selecting a performance KPI to optimize
It will then automatically generate the best production ready model

User Experience Value

Accelerate and enhance democratization of Classification & Prediction ML development for no data scientists experts, by automating the choice of best ML algorithm & hyperparameters,
with respect to user selected Machine Learning performance KPI.
The application will automatically propose :
- learners (algorithms)
- hyperparameters
and then compute models based on the learners and hyperparameters

In addition to significantly improving accessibility to enterprise people with no deep data scientist skills, this saves users a considerable amount of time by eliminating the need to perform time-consuming steps themselves (as tuning and testing models).