Displaying 5 results from an estimated 5 matches for "housevotes84".
2011 Feb 08
1
Naive Bayes Issue - Can't Predict - Error is "Error in log(sapply(attribs...)
...r Data & Analytics - ValueClick
mike.schumacher@gmail.com
*
Functional Example Code from UCLA:
http://www.stat.ucl.ac.be/ISdidactique/Rhelp/library/e1071/html/predict.naiveBayes.html
*
install.packages('e1071')
install.packages('mlbench')
library(e1071)
library(mlbench)
data(HouseVotes84)
model <- naiveBayes(Class ~ ., data = HouseVotes84)
predict(model, HouseVotes84[1:10,-1])
*My Code That Errors:*
resp<-c(0,0,0,0,0,0,0,0,0,1,1,1,1,1,1)
var <-c('y','n','y','y','y','n','y','y','y','n','n&...
2012 Jul 05
1
Different level set when predicting with e1071's Naive Bayes classifier
...the ones used for fitting. From
inspecting the predict.naiveBayes I came to the conclusion that this is due
to the conversion of factors to their internal codes using the data.matrix
function. For example, consider the following piece of R code:
> library(mlbench)
> library(e1071)
> data(HouseVotes84)
> model <- naiveBayes(Class ~ ., data = HouseVotes84)
> head(HouseVotes84)
Class V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16
1 republican n y n y y y n n n y <NA> y y y n y
2 republican n y n y y y n n n n n...
2012 Nov 08
0
FW: Interfacing R and Weka
...012
month 10
day 26
svn rev 61015
language R
version.string R version 2.15.2 (2012-10-26)
nickname Trick or Treat
I'm trying to use RWeka, in particular an example in the help file for make_Weka_classifier
> model <- NB(Class ~ ., data = HouseVotes84)
Error in .jnew("weka/core/Attribute", attname[i], .jcast(levels,
"java/util/List")) :
java.lang.NoSuchMethodError: <init>
> traceback()
8: stop(list(message = "java.lang.NoSuchMethodError: <init>", call = .jnew("weka/core/Attribute",...
2007 Aug 22
1
"subscript out of bounds" Error in predict.naivebayes
I'm trying to fit a naive Bayes model and predict on a new data set using
the functions naivebayes and predict (package = e1071).
R version 2.5.1 on a Linux machine
My data set looks like this. "class" is the response and k1 - k3 are the
independent variables. All of them are factors. The response has 52 levels
and k1 - k3 have 2-6 levels. I have about 9,300 independent variables
2009 Jun 01
1
installing sn package
...istian
.jmethods("weka/core/SerializationHelper")
[2] "public static void
weka.core.SerializationHelper.write(java.lang.String,java.lang.Object)
throws java.lang.Exception"
> NB <- make_Weka_classifier("weka/classifiers/bayes/NaiveBayes")
> data("HouseVotes84", package = "mlbench")
> model <- NB(Class ~ ., data = HouseVotes84)
>
>
.jcall("weka/core/SerializationHelper",returnSig="V","write","nb.model",model)
Fehler in .jcall("weka/core/SerializationHelper", returnSig = &quo...