similar to: Tree Decison with rpat

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]]

Hi, First of all, I'm a complete rookie to R (~2 weeks). But anyway, I'm trying to use the RWeka interface for C4.5 (J48) classification. As a proof of concept I'm using the Iris data set to create a training set of 30 instances (10 per species) and use the remaining 120 instances as my test set. This is what I do: trainingIndices <- rep(1:10, 3) + rep(0:2, each=10) * 50

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

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.

Dear colleagues in R, Has anybody implemented the 1) (Goodman & Kruskal) lambda 2) (Thiel's) uncertainty coefficient Tanks Rafael M Ramos [[alternative HTML version deleted]]

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

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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:

CentOS Errata and Security Advisory 2009:0429 https://rhn.redhat.com/errata/RHSA-2009-0429.html The following updated files have been uploaded and are currently syncing to the mirrors: s390: updates/s390/RPMS/cups-1.1.22-0.rc1.9.27.c4.5.s390.rpm updates/s390/RPMS/cups-devel-1.1.22-0.rc1.9.27.c4.5.s390.rpm updates/s390/RPMS/cups-libs-1.1.22-0.rc1.9.27.c4.5.s390.rpm s390x:

Hello everybody I'm having some difficulties to design the decision tree algorithm J48. I am using the following code and when I run it gives me the following message plot(m1) Error in plot.Weka_tree(m1) : Plotting of trees with multi-way splits is currently not implemented. #The code library(RWeka) library(randomForest) library(party) if(require(mlbench, quietly = TRUE) &&

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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

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

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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]]

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: ia64: updates/ia64/RPMS/samba-3.0.25b-1.c4.5.ia64.rpm updates/ia64/RPMS/samba-client-3.0.25b-1.c4.5.ia64.rpm updates/ia64/RPMS/samba-common-3.0.25b-1.c4.5.ia64.rpm

Greetings, Does anyone know if the C4.5 algorithm is already implemented in R? If yes, please let me know the package. Thanks. -- View this message in context: http://www.nabble.com/C4.5-implementation-in-R-tp23736785p23736785.html Sent from the R help mailing list archive at Nabble.com.