How can I justify the a priori choice of a classifier compared to another one? Which metrics or experiments can I use as justification for using one classifier rather than another one?
I’m dealing with numerical data and I am a beginner with data mining.
thanks for your reply, it was useful. I try to explain me better: I built a three-class classification model that works good with XGB Tree Learner because I got over 95% in accuracy . Neverthless during the presentation of my work I will have to illustrate the reasons why I chose this model instead of others. I need a comparative analysis using the same metrics and prove that my model was the best one. I hope I was clear now.
Coud you help me?
I read in my DM book that I could use the ten-times ten-fold cross validation. But how?