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:
