Microsoft Azure Machine Learning

Do it yourself

Start a new experiment and drag the sample dataset, the Adult Census Income Binary Classification dataset, from the module palette under the Saved Datasets group. Then, do the following:

• Visualize the dataset and find out all the columns that have missing values
• Use the Clean Missing Data module to replace the missing values with 0
• On the result dataset of the previously used Metadata Editor module, select all the columns except income and identify them as feature fields
• On the result dataset of the previously used the Split module, split the dataset into 80 percent and 20 percent using the same module
• Run the experiment and visualize the dataset from both the output ports of the Split module

Your experiment may look like the following: ...