similar to: C4.5 implementation in R

I am familiar with the rpart and tree packages for classification and regression trees. However, quite a bit of the research in the transportation community relating to decision trees uses the C4.5 family of algorithms by Quinlan. Are there any plans to make a C4.5 (or a derivative of it) available to R? If not, then I might use the WEKA Java package ( http://www.cs.waikato.ac.nz/ml/weka) that

Hello, My question is about the algorithm used behind decision tree package rpart. It is not clear in the help if the algorithm used is ID3 or C4.5. Someone has any idea? Regards. Sandro. -- View this message in context: http://www.nabble.com/rpart%3A-ID3-or-C4.5--tp19269303p19269303.html Sent from the R devel mailing list archive at Nabble.com.

Hi, Being a novice this is my first usage of R. I am trying to use rpart for building a decision tree in R. And I have the following dataframe Outlook Temp Humidity Windy Class Sunny 75 70 Yes Play Sunny 80 90 Yes Don't Play Sunny 85 85 No Don't Play Sunny 72 95 No Don't Play Sunny 69 70 No Play Overcast 72 90 Yes Play Overcast 83 78 No Play Overcast 64 65 Yes Play Overcast 81 75

Hello, exist an implementation of DecisionTree Algorithms C4.5 from Quinlan in R which extract ruleSets for Classification Problems? I found "only" the packages tree and rpart which use other algorithms ! thanks & regards, christian -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Suppose one estimates a classification or regression tree (CART) for one group or one time period; and then estimates a CART for another group or time period. Is there a way to test for a structural change or break across the two groups or between the two time periods, in other words, is there an analogue of a Chow Test for CART? Has anyone ever seen anything like this or have any ideas how one

Hello, I would like to test some learning algorithms (C5.0, or C4.5) using decision trees or neural network. I didn't find anything in the R documentation for functions to apply on datasets (well, English is not my mother tongue and I have some problems to understand some functions descriptions). Does anybody know where I can find anything about that ? Thank you very much, Thomas

I have installed CentOS 4.5 and 5 on 2 separate machines, and both have default installs of vim-enhanced on each of them. I noticed that I can get syntax highlighting as a regular user, sudo and as root in C4.5. In C5 I only get highlighting as a regular user. I diff'ed my /etc/vimrc files between each install there is no changes and neither root ~ has a .vimrc file. I had put "# vim:

Hi All, I am trying to use the C50 package to build classification trees in R. Unfortunately there is not enought documentation around its use. Can anyone explain to me - how to prune the decision trees? Regards, Indrajit [[alternative HTML version deleted]]

Dear all, I have a couple of short noob questions for whoever can take them. I'm from a very non-stats background so sorry for offending anybody with stupid questions ! :-) I have been using logistic regression care of glm to analyse a binary dependent variable against a couple of independent variables. All has gone well so far. In my work I have to compare the accuracy of analysis to a C4.5

hi! this is a question about lda (MASS) in R on a particular dataset. I'm not a specialist about any of this but: First with the well-known "iris" dataset, I tried using lda to discriminate versicolor from the other to classes and I got approx. 70% of accuracy testing on train set. In iris, versicolor stands "between" the 2 other so one can expect lda not to perform well

Good afternoon. I would like to know if there is any function in R to do LOOCV with these classifiers: 1)SVM 2)Neural Networks 3)C4.5 ( J48) 4)KNN Thanks a lot! [[alternative HTML version deleted]]

Hello guys! I am working with some classifiers ( SVM,C4.5,RNA,etc) using 10-C.V. Once I have the model of each one, I make the validation of these models in one dataset. Then,with my model and the dataset, I extract a confusion matrix to know the capacity of prediction from the model. And finally, I extract the accuracy of this prediction based on the diagonal from the confusion matrix. The

Dear R-helpers: I am interested in discretization methods for numerical attributes, as they are reported in the 'machine learning' community. For example, the work of Fayyad & Irani (IJCAI-93), Kononenko, entropy-based approaches, MDL principle, the C4.5 approach, etc. I am especially interested in those methods that take a factor as goal target into account for discretizing

Hi, I am using some classifiers in RWeka packages and met a couple problems. (1) J48 implements C45 classifier, the C45 should be able to handle missing values in both training set and test set. But I found the J48 classifier can not be evaluated on test set with missing values--it just ignore them. (2) The ensemble classifiers in RWeka such as bagging and boosting: there is a

CentOS Errata and Security Advisory 2008:0583 https://rhn.redhat.com/errata/RHSA-2008-0583.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/compat-openldap-2.1.30-8.c4.5.s390.rpm updates/s390/RPMS/openldap-2.2.13-8.c4.5.s390.rpm updates/s390/RPMS/openldap-clients-2.2.13-8.c4.5.s390.rpm

Send CentOS-announce mailing list submissions to centos-announce at centos.org To subscribe or unsubscribe via the World Wide Web, visit http://lists.centos.org/mailman/listinfo/centos-announce or, via email, send a message with subject or body 'help' to centos-announce-request at centos.org You can reach the person managing the list at centos-announce-owner at centos.org When

CentOS Errata and Security Advisory 2008:0288 https://rhn.redhat.com/errata/RHSA-2008-0288.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/samba-3.0.25b-1.c4.5.s390.rpm updates/s390/RPMS/samba-client-3.0.25b-1.c4.5.s390.rpm updates/s390/RPMS/samba-common-3.0.25b-1.c4.5.s390.rpm

CentOS Errata and Security Advisory 2009:0161 https://rhn.redhat.com/errata/RHSA-2008-0161.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/cups-1.1.22-0.rc1.9.20.2.c4.5.s390.rpm updates/s390/RPMS/cups-devel-1.1.22-0.rc1.9.20.2.c4.5.s390.rpm updates/s390/RPMS/cups-libs-1.1.22-0.rc1.9.20.2.c4.5.s390.rpm s390x:

CentOS Errata and Security Advisory 2008:0583 https://rhn.redhat.com/errata/RHSA-2008-0583.html The following updated files have been uploaded and are currently syncing to the mirrors: ia64: updates/ia64/RPMS/compat-openldap-2.1.30-8.c4.5.ia64.rpm updates/ia64/RPMS/openldap-2.2.13-8.c4.5.ia64.rpm updates/ia64/RPMS/openldap-clients-2.2.13-8.c4.5.ia64.rpm

CentOS Errata and Security Advisory 2009:0345 https://rhn.redhat.com/errata/RHSA-2009-0345.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/ghostscript-7.07-33.2.c4.5.s390.rpm updates/s390/RPMS/ghostscript-devel-7.07-33.2.c4.5.s390.rpm updates/s390/RPMS/ghostscript-gtk-7.07-33.2.c4.5.s390.rpm s390x: