This flowchart describes the systematic process of conducting empirical research, particularly in a field that involves data analysis and algorithm development. It starts with formulating a research problem and reviewing related literature, followed by data preprocessing, feature selection, and dividing the dataset into training and test sets. This template is crucial for researchers, data scientists, and academics as it provides a structured approach to developing and validating research hypotheses using data.
