Fig. 2.

A typical machine learning workflow. While there are generally four main broad steps to develop a ML strategy (shaded boxes here and discussed comprehensively in the main text), a user is often left with multiple choices to select from a variety of tools/algorithms available for each step. The choice mainly depends on the dataset-specific factors and desired outcomes from the model. The workflow presented here can possibly guide decisions when choosing algorithms for developing and testing a data analysis strategy