Historical customer data for a fictional outdoor equipment store used in Watson Studio tutorials train the machine learning models. The sample data is structured in rows and columns, and saved in a .csv file.
Feature columns are columns that contain the attributes on which the machine learning model will base predictions. In this historical data, there are four feature columns:
Label columns are columns that contain historical outcomes that the models will be trained predict. In this historical data, there are three label columns: