<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/"></div></div><div><a data-url="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/" data-counturl="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/" data-count="horizontal" data-text="Telco churn prediction with R+H2O" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://rsnippets.blogspot.com/2016/09/telco-churn-prediction-with-rh2o.html"> R snippets</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Recently together with my friend <a target="_blank" href="https://www.linkedin.com/in/jakuczunwit">Wit Jakuczun</a> we have discussed about a <a target="_blank" href="http://blog.revolutionanalytics.com/2016/08/telco-customer-churn-with-r-in-sql-server-2016.html">blog post</a> 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 <a target="_blank" href="http://www.h2o.ai/">H2O</a>, which is a great tool for automated building of prediction models.</p>
<p>Today Wit has published on Github his codes performing the analysis. You can check them out <a target="_blank" href="https://github.com/WLOGSolutions/telco-customer-churn-in-r-and-h2o">here</a>. 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 <a target="_blank" href="https://github.com/WLOGSolutions/telco-customer-churn-in-r-and-h2o">Github reposity</a> 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.</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/"></div></div><div><a data-url="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/" data-counturl="https://www.r-bloggers.com/telco-churn-prediction-with-rh2o/" data-count="vertical" data-text="Telco churn prediction with R+H2O" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://rsnippets.blogspot.com/2016/09/telco-churn-prediction-with-rh2o.html"> R snippets</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/-IskeCxWe1g"></a></div>