I am just starting to work with the cplm package and ordered Lorenz curves for means to compare models. I am thinking that the scores need to be on the same scale as loss, is that correct? gg <- gini(loss = "claim_amount", score =, base = "Base_premium" , data = dat) I am getting different results when I change the score scale, so that is what lead me to that conclusion. Any help would be much appreciated. Thanks, Bailey -----Original Message----- From: R-SIG-insurance [mailto:r-sig-insurance-bounces at r-project.org] On Behalf Of r-sig-insurance-request at r-project.org Sent: Tuesday, January 13, 2015 4:00 AM To: r-sig-insurance at r-project.org Subject: R-SIG-insurance Digest, Vol 24, Issue 1 Send R-SIG-insurance mailing list submissions to r-sig-insurance at r-project.org To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-sig-insurance or, via email, send a message with subject or body 'help' to r-sig-insurance-request at r-project.org You can reach the person managing the list at r-sig-insurance-owner at r-project.org When replying, please edit your Subject line so it is more specific than "Re: Contents of R-SIG-insurance digest..." Today's Topics: 1. Tomorrow Webinar: Enter a KDD Cup or Kaggle Competition without being an expert! (Lisa Solomon) ---------------------------------------------------------------------- Message: 1 Date: Mon, 12 Jan 2015 14:22:37 -0600 From: Lisa Solomon <lisas at salford-systems.com> To: "r-sig-insurance at r-project.org" <r-sig-insurance at r-project.org> Subject: [R-sig-ins] Tomorrow Webinar: Enter a KDD Cup or Kaggle Competition without being an expert! Message-ID: <2732C804E2DBB04AA90A678D76FAF2CC6236EB606D at DFW1MBX02.mex07a.mlsrvr.com> Content-Type: text/plain; charset="UTF-8" Webinar: Enter a KDD Cup or Kaggle Competition, You don't need to be an expert! Tomorrow, January 13, 2015 from 10am-11am PDT * If inconvenient time, please register and we will send you a recording. Click to Register: http://hubs.ly/y0q_jf0 Abstract: * Quickly achieve a place in the top 5: We will show you how Salford's TreeNet gradient boosting can be used for the 2009 KDD Cup competition to quickly achieve a place in the top 5. * Takeaway: At the end of this webinar, our goal is that you will be able to build a TreeNet model that can bring you within decimal places of a winning solution. * Starting Point for Kaggle, KDD and other data science competitions: Use this information as a starting point for Kaggle competitions and other KDD Cup competitions. * 30-day software access: All attendees receive 30-day access to TreeNet gradient boosting, and other Salford Predictive Modeler technology. Click to Register: http://hubs.ly/y0q_jf0 ------------------------------ Subject: Digest Footer _______________________________________________ R-SIG-insurance mailing list R-SIG-insurance at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-insurance ------------------------------ End of R-SIG-insurance Digest, Vol 24, Issue 1
Ordered Lorenz Curve
1 message · Bailey Pinney