Hello (whoever you are),
your data looks problematic. What does
head(ne_span_data)
reveal?
BTW, svm() will not handle NA values.
Best
David
---------------------
Hello. I'm new to R and I'm trying to solve a classification problem. I have
a training dataset of about 40,000 rows and 50 columns. When I try to train
support vector machine, it gives me this error after a few seconds:
Error in predict.svm(ret, xhold) : Model is empty!
This is the code I use:
ne_span_data <- as.matrix(read.table('ne_span.data.R.txt', header=TRUE,
row.names='id'))
library('e1071')
svm_ne_span_model <- svm(NE_type ~ . , ne_span_data)
it gives me:
Error in predict.svm(ret, xhold) : Model is empty!
A line from the ne_span.data.R.txt file:
svt OTHER N N I S 2 NA NA NA NA NA A NA NA 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 train-s1m2
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