Classification Accelerator
Binary classification, with parameter based auto algorithm selection.
🔗Classification Repository🔗
Accelerator Description
Binary classification models are perhaps the most common use-case in predictive analytics. The reason is that many key client actions across a wide range of industries are binary in nature, such as:
- Defaulting on a loan,
- Clicking on an ad,
- Terminating a subscription,
- Quality control of products, processes or services,
- Medical testing,
- And so on.
Because of this broad commonality, this accelerator will prove optimal in many data science-based engagements, streamlining time to value.
Details of the accelerator:
- Leverages the ML Ops accelerator to provide a configurable and re-usable solution accelerator for binary classification cases.
- Auto selects the best classification algorithm for the dataset based on user defined criteria (parameters).
- Uses Azure ML and Azure Dev Ops
Architecture
Prerequisites
- Access to an Azure subscription
- Access to an Azure DevOps subscription
- Service Principal Account
Use Case
Any yes / no question requirement including:- Defaulting on a loan,
- Clicking on an ad,
- Terminating a subscription,
- Quality control of products, processes or services,
- Medical testing.
Accelerator Components
Branching Strategy
