Step 2: Define the Prepared Dataset and Attributes on which Algorithms would be executed


This step will be focused on understanding data. By specifying prepared datasets, in this step you will specify the required output of data preparation steps.
  • Start by asking the following question to guide you: "What data attributes (i.e., features), in what format, and aggregation level are needed for the Question Goals under consideration? (includes decisions on the attributes, data types, aggregation levels, and selection of records (filtering))."
  • Perform feature selection analyses and correlation tests to exclude/include certain attributes
  • Based on your findings, you may reconsider the input datasets and revise the model from the previous steps.