similar to: svm regression

My data looks like: A,B,C,D,Class 1,2,0,2,cl1 1,5,1,9,cl1 3,2,1,2,cl2 7,2,1,2,cl2 2,2,1,2,cl2 1,2,1,5,cl2 0,2,1,2,cl2 4,2,1,2,cl2 3,5,1,2,cl2 3,2,12,3,cl2 3,2,4,2,cl2 **The steps followed are: trainfile <- read.csv("TrainFile",head=TRUE) datatrain <- subset(trainfile,select=c(-Class)) classtrain <- (subset(trainfile,select=Class)) rf <- randomForest(datatrain, classtrain)

What should I do if I need to train svm() with data having same value across all rows in some columns. These must be the important features of the class and we cant exclude these columns to build up models. The error I am getting is: Error in predict.svm(ret, xhold) : Model is empty! In addition: Warning message: In svm.default(datatrain, classtrain) : Variable(s) 'F112' and

While trying to train randomForest with my dataset, I am ending up with the following error Error in randomForest.default(datatrain, classtrain) : length of response must be the same as predictors My data looks like: A,B,C,D,Class 1,2,1,2,cl1 1,2,1,2,cl1 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,1,2,cl2 3,2,12,3,cl2 3,2,1,2,cl2 Actual dataset has around 4000

Hello Jonathan, So, I realized later that I didn't have add 'dsdb:schema update allowed'. I just added and it worked! But now I'm having problem related to the the class. This is the error: ldap_add: Object class violation (65) additional info: 00002014: objectclass: the objectclass 'classtest' seems to be unrelated to user! Hi Lukz, On 1 November 2016 at

I have a simple mirror pool with 2 disks. I pulled out one disk to simulate a failed drive. zpool status shows that the pool is in DEGRADED state. I want syslog to log these type of ZFS errors. I have syslog running and logging all sorts of error to a log server. But this failed disk in ZFS pool did not generate any syslog messages. ZFS diagnosists engine are online as seen bleow. hrs1zgpprd1#

Hello, In the attached file training.csv (I apologize for the large file) I have 238 objects belonging to 13 classes, which are described by 183 properties. I would like to find a svm model for these objects. I tried the following R statements. library('e1071') datatraining <- read.csv("training.csv",head=TRUE) names<-names(datatraining) print("before

I expected, that I will get the same prediction, if I multiply the weights for all classes with a constant factor, but I got different results. Please look for the following code. > library(e1071) > data(Glass, package = "mlbench") > index <- 1:nrow(Glass) > testindex <- sample(index, trunc(length(index)/5)) > testset <- Glass[testindex, ] > trainset <-

Hi, I am trying to train svm with some training data of about 4000 rows and 4000 columns. While running svm function I am ending up with the following error. trainfile <- read.csv('0_train_0016435.csv',head=TRUE,na.strings = "NULL") datatrain <- subset(trainfile,select=c(-Class)) model <- svm(datatrain, kernel="radial") Error in FUN(newX[, i], ...) :

Dear All, In a project I've been working on we've been using Reference Classes and grid extensively. However, something that I have come across is that when using the import() method on refclass objects, it does not work as expected with grid grobs and viewports. I have prepared test cases that illustrate the point but the general idea is that importing appears to work fine for

This is release 0.9.57 of Wine, a free implementation of Windows on Unix. What's new in this release (see below for details): - Support for multiple OpenGL pixel formats. - Improved support for color profiles. - Many window management fixes. - Better fullscreen support. - Lots of bug fixes. Because of lags created by using mirrors, this message may reach you before the release is