In this post, I’m going to be looking at the progressive performance of different tree-based classification methods in R, using the Kaggle Otto Group Product Classification Challenge as an example. This competition challenges participants to correctly classify products into 1 of 9 classes based on data in 93 features. I’ll start ... [Read more...]

** This is a modified version of a previous R benchmark that was done back in 2011. Click this link to see the original post. After using R for quite some time, you get to know a little bit about its strengths and weaknesses. It structures data very well and has a ... [Read more...]

Two days ago, Kaggle began a new competition called the Otto Group Product Classification Challenge. In this competition, participants are challenged to create a model to correctly classify products between 9 product categories (fashion, electronics, etc.). The data consists of 200k products with 93 features each. The features have been obfuscated so ... [Read more...]