Dear R Group I had an observation that in some cases, when I use the randomForest model to create partialPlot in R using the package "randomForest" the y-axis displays values that are more than -1! It is a classification problem that i was trying to address. Any insights as to how the y axis can display value more than -1 for some variables? Am i missing something! Thanks Regards Vijayan Padmanabhan Can you avoid printing this? Think of the environment before printing the email. ------------------------------------------------------------------------------- Please visit us at www.itcportal.com ****************************************************************************** This Communication is for the exclusive use of the intended recipient (s) and shall not attach any liability on the originator or ITC Ltd./its Subsidiaries/its Group Companies. If you are the addressee, the contents of this email are intended for your use only and it shall not be forwarded to any third party, without first obtaining written authorisation from the originator or ITC Ltd./its Subsidiaries/its Group Companies. It may contain information which is confidential and legally privileged and the same shall not be used or dealt with by any third party in any manner whatsoever without the specific consent of ITC Ltd./its Subsidiaries/its Group Companies. [[alternative HTML version deleted]]
> From: Vijayan Padmanabhan > > Dear R Group > I had an observation that in some cases, when I use the > randomForest model > to create partialPlot in R using the package "randomForest" > the y-axis displays values that are more than -1! > It is a classification problem that i was trying to address. > Any insights as to how the y axis can display value more than > -1 for some > variables? > Am i missing something!Yes, the "Detail" section of the help page for partialPlot, or specifically, what the function is plotting for a classification model. Andy> Thanks > Regards > Vijayan Padmanabhan > > > Can you avoid printing this? > Think of the environment before printing the email. > -------------------------------------------------------------- > ----------------- > Please visit us at www.itcportal.com > ************************************************************** > **************** > This Communication is for the exclusive use of the intended > recipient (s) and shall > not attach any liability on the originator or ITC Ltd./its > Subsidiaries/its Group > Companies. If you are the addressee, the contents of this > email are intended for your > use only and it shall not be forwarded to any third party, > without first obtaining > written authorisation from the originator or ITC Ltd./its > Subsidiaries/its Group > Companies. It may contain information which is confidential > and legally privileged > and the same shall not be used or dealt with by any third > party in any manner > whatsoever without the specific consent of ITC Ltd./its > Subsidiaries/its Group > Companies. > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >Notice: This e-mail message, together with any attachme...{{dropped:11}}
Dear R Group I am not sure if this is the right forum to raise this query, but i would rather give it a try and aim for reaching the right person who might be a part of this group who can help. I have a query on interpretation of PartialPlot in package randomForest. In my earlier queries in this regard, I probably did not give sufficient explanation to elicit the intended details in the explanations being provided.. Hence I am resending the query with examples and bit more details. In a scenario where a set of continuous variables vs a class response is being modeled by RF, say the iris example.. using the following code, how do I interpret the partial plot that is generated? library(randomForest) data(iris) set.seed(543) iris.rf <- randomForest(Species~., iris) partialPlot(iris.rf, iris, Sepal.Length, "setosa") How is the y-axis values to be understood? A straight forward Textual interpretation of the output from the experts in this area, would help me understand this concept of marginal effect being plotted for the variable "Sepal.Length" on the which.class=setosa. Thanks for your help. Regards Vijayan Padmanabhan "What is expressed without proof can be denied without proof" - Euclide. Can you avoid printing this? Think of the environment before printing the email. ------------------------------------------------------------------------------- Please visit us at www.itcportal.com ****************************************************************************** This Communication is for the exclusive use of the intended recipient (s) and shall not attach any liability on the originator or ITC Ltd./its Subsidiaries/its Group Companies. If you are the addressee, the contents of this email are intended for your use only and it shall not be forwarded to any third party, without first obtaining written authorisation from the originator or ITC Ltd./its Subsidiaries/its Group Companies. It may contain information which is confidential and legally privileged and the same shall not be used or dealt with by any third party in any manner whatsoever without the specific consent of ITC Ltd./its Subsidiaries/its Group Companies. [[alternative HTML version deleted]]