I'm currently writing my Master's thesis in machine learning.
My understanding of academic papers are that you describe what you did in methodology section and what the outcome was in the results section.
But my problem is that the research was very iterative, meaning that the results from early experiments made med tweak the parameters and the algorithm until the results finally could tell me something about my original research question.
Should I describe this process in the methodology and show the results of the earlier experiments, or would it be better to only describe what was done in the final experiment? And if the first alternative is better, should I describe the results of the early experiments in the methodology since they shaped the parameters of the later experiments?