I am using 'e1071' and 'caret' packages along with SVM algorithm for a file containing 4 classes. In the prediction file, I got a field 'x'. Why this 'x' has come in prediction?
I expect the output of only 4 classes, but the actual output is one 'x' along with 4 classes
Hi Hiteshree,
Could you provide a screenshot of the output?
My guess is that 'x' is the default column name in R. You can use 'colnames=FALSE' when writing your predictions.
Hiteshree Buch I can confirm that 'x' is simply the default column name given by R when saving data in a file. You can change it by usong 'colnames =FALSE' in the write.table command (or any other write. command).
Hope this helps
Kévin Vervier x has been added to my predicted dataset as a value. If I ignore this value length of the predicted dataset decreases by one and so confusion matrix couldn't be formed. In order to get rid of x, I have also tried you suggested me to do so. Here is the image of error R is showing if I write colnames=FALSE. Please suggest what to do next!
Could you use 'write.table' instead of write.csv? unfortunately, write.csv does not have a 'col.names' argument (as stated in the warning messages).
Could you check the length of both twop1$x and twoh$Location ?
Do you have any missing data (NAs)?
I had used 'write.table' and a table is formed, but still it has the length of 199(it doesn't include x)
length of twop1$x is 199 whereas 200 is of twoh$Location
No. I don't have any missing data.
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