Displaying 11 results from an estimated 11 matches similar to: "naiveBayes: slow predict, weird results"
2008 Jun 25
1
Extract naiveBayes details
Hey,
I just like to know how to extract details from the naiveBayes model
(package e1071). I mean, for each possible value the model defines how much
it influences the outcome. I want to sort those probabilities and show the
values with the highest impact.
How could I do that?
PS: I tried using []'s to get to the model's internals, however, all I get
is a "list" not a
2007 Nov 01
1
RWeka and naiveBayes
Hi
I'm trying to use RWeka to use a NaiveBayes Classifier(the Weka
version). However it crashes whenever there is a NA in the class
Gender
Here is the.code I have with d2 as the data frame.
The first call to NB doesn't make R crash but the second call does.
NB <- make_Weka_classifier("weka/classifiers/bayes/NaiveBayesSimple")
d2[,64]<-d2$Gender=="M"
2009 Feb 19
1
Bug in predict function for naiveBayes?
Dear all,
I tried a simple naive Bayes classification on an artificial dataset, but I
have troubles getting the predict function to work with the type="class"
specification. With type= "raw", it works perfectly, but with type="class" I
get following error :
Error in as.vector(x, mode) : invalid 'mode' argument
Data : mixture.train is a training set with 100
2010 Jun 30
1
help on naivebayes function in R
Hi,
I have written a code in R for classifying microarray data using naive
bayes, the code is given below:
library(e1071)
train<-read.table("Z:/Documents/train.txt",header=T);
test<-read.table("Z:/Documents/test.txt",header=T);
cl <- c(c(rep("ALL",10), rep("AML",10)));
cl <- factor(cl)
model <- NaiveBayes(train,cl);
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 30
2
NaiveBayes fails with one input variable (caret and klarR packages)
Hello,
We have a system which creates thousands of regression/classification models and in cases where we have only one input variable NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable.
We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on
2012 Feb 07
2
predict.naiveBayes() bug in e1071 package
Hi,
I'm currently using the R package e1071 to train naive bayes
classifiers and came across a bug: When the posterior probabilities of
all classes are small, the result from the predict.naiveBayes function
become NaNs. This is an issue with the treatment of the
log-transformed probabilities inside the predict.naiveBayes function.
Here is an example to demonstrate the problem (you might need
2012 Aug 09
2
Analyzing Poor Performance Using naiveBayes()
My data is 50,000 instances of about 200 predictor values, and for all 50,000
examples I have the actual class labels (binary). The data is quite
unbalanced with about 10% or less of the examples having a positive outcome
and the remainder, of course, negative. Nothing suggests the data has any
order, and it doesn't appear to have any, so I've pulled the first 30,000
examples to use as
2010 Nov 03
2
[klaR package] [NaiveBayes] warning message numerical 0 probability
Hi,
I run R 2.10.1 under ubuntu 10.04 LTS (Lucid Lynx) and klaR version 0.6-4.
I compute a model over a 2 classes dataset (composed of 700 examples).
To that aim, I use the function NaiveBayes provided in the package
klaR.
When I then use the prediction function : predict(my_model, new_data).
I get the following warning :
"In FUN(1:747[[747L]], ...) : Numerical 0 probability with
2008 Apr 02
1
Two datasets on one histogram
I have two .txt files with lists of generated data I want to plot them on the same histogram. I'm aware of the histbackback function, but that is not really what I am looking for, I just want them on the same histogram but so they are still grouped separately (different colours, different norm curves etc). Does anyone know how to do this? Thank you.
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2008 Jul 31
1
bwplot with Date object
Hello R-helpers,
I would like to produce a boxplot for dates, using lattice.
Here is a dummy example :
dates<-as.Date(32768:32895,origin="1900-01-01")
plouf<-data.frame(days=dates,group=factor(rep(1:2,times=128/2)))
bwplot(group~days,data=plouf)
# doesn't work, whereas :
bwplot(group~as.numeric(days),data=plouf)
# does, but is obviously not good looking when it comes to