Support Vector Machine - Can't create an additional predicted value for my data set

Machine Learning and Modeling
1

I have created two models, one using logistic regression the other using support vector machine. I'll show you what I did for logistic regression, no problems, and then with support vector machine, problems.

Logistic regression - No problem

glm.fit=glm(claim~Auto+Elect_Photo+Groceries+Industrial_Durable+ Others+Restaurant+Retail_Clothing+Retail_Discount+Retail_Materials+Retail_Specialty+amt2+flag_cat30+flag_state30+ merchants,data=fraud.train.visa,family=binomial)
 fraud.train.visa$pred_fraud_log<-predict(glm.fit,newdata=fraud.train.visa,type="response")

Support Vector Machine: - No Problem with svm running, but when I try to create predicted value get errors.

Svm.fit=svm(claim~Auto+Elect_Photo+Groceries+Industrial_Durable+Others+Restaurant+Retail_Clothing+Retail_Discount+Retail_Materials+Retail_Specialty+amt2+flag_cat30+flag_state30+merchants,
 data=fraud.train.visa,kernel="radial",gamma=1,cost=1)

fraud.validate.visa$pred_fraud_SVM<-predict(Svm.fit,newdata=fraud.validate.visa,type="response")

Error in $<-.data.frame(*tmp*, "pred_fraud_SVM", value = numeric(0)) :
 replacement has 0 rows, data has 32815

Thanks

2

It's difficult to tell what the issue might be since we cannot reproduce the analysis.

To copy from @mara:

Could you please turn this into a self-contained reprex (short for reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.

install.reprex("reprex")

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