Start With Gradient Boosting, Results from Comparing 13 Algorithms on 165 Datasets - Machine Learning Mastery

Which machine learning algorithm should you use? It is a central question in applied machine learning. In a recent paper by Randal Olson and others, they attempt to answer it and give you a guide for algorithms and parameters to try on your problem first, before spot checking a broader suite of algorithms. In this post, you will discover a study and findings from evaluating many machine learning algorithms across a large number of machine learning datasets and the recommendations made from this study. Start With Gradient Boosting, but Always Spot Check Algorithms and Configurations Photo by Ritesh Man Tamrakar, some rights reserved.