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Demonstration showing how to use Azure Machine Learning Studio to predict income levels

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azure-ml-classification

Demonstration showing how to use Azure Machine Learning Studio to predict income levels

Getting Started

An Azure RM template is included in infrastructure/ to create the environment:

Using Azure PowerShell, do the following to provision the resources:

.\startup.ps1

Alternatively, you can perform a one-click deploy with the following button:

Following Along

  1. Navigate to the Azure Machine Learning workspace created by the ARM template and click the link to open Azure Machine Learning Studio
  2. Create a new Experiment
  3. Build the following model in the designer: image
  4. In the Select Columns for Dataset module properties, remove a subset of features from the dataset so you can see how important they are compared to the model that is trained with all features
  5. Run the experiment
  6. Compare the model performance by selecting the Evaluate Model's visualize option

Tearing Down

When finished, remove the Azure resources with:

.\teardown.ps1

Acknowledgements

Thanks to the University of California Irvine Machine Learning Lab for hosting the data here.

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