FIGURE 1. Machine Learning Pipeline.

Schematic diagram of a general machine learning pipeline. The data section consists of project planning, data collection, cleaning, and exploration. The modelling section describes the model building, in which hyperparameter tuning and the dimensionality reduction process, such as feature selection and engineering, model optimization and selection, and evaluation, are included. Finally, the reporting segment consists of the reporting mechanisms of the analysis, including reproducibility and maintenance, and a description of the limitations and alternatives.