Recently together with my friend Wit Jakuczun we have discussed about a blog post on Revolution showing application of SQL Server R services to build and run telco churn model. It is a very nice analysis and we thought that it would be interesting to compare the results to H2O, which is a great tool for automated building of prediction models.
Today Wit has published on Github his codes performing the analysis. You can check them out here. The obtained model is pretty good, with AUC equal to 0.947 which is better than any of the models presented in Revolution blog. But, in my opinion the key value of the Wit’s work is to show how simple it is to build models with H2O using R. From his Github reposity you can download a ready to run RStudio project and all the instructions needed to build the model in just a few lines of code.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...
