Question: How do i set different threshold to get multiple values for ROC plot

0

Paul •

**80**wrote:Below is the code I have written to build a SVM model. I am using ROCR package for plotting the ROC plot.

```
library(e1071)
library(caret)
library(gplots)
library(ROCR)
inTraining <- createDataPartition(data$Class, p = .70, list = FALSE)
training <- data[ inTraining,]
testing <- data[-inTraining,]
svm.model <- svm(Class ~ ., data = training,cross=10, metric="ROC",type="C-classification",kernel="linear",na.action=na.omit,probability = TRUE)
#prediction and ROC
svm.model$index
svm.pred <- predict(svm.model, testing, probability = TRUE)
c <- as.numeric(svm.pred)
c = c - 1
pred <- prediction(c, testing$Class)
perf <- performance(pred,"tpr","fpr")
plot(perf,fpr.stop=0.1)
```

I tried following this solution https://stackoverflow.com/questions/16347507/obtaining-threshold-values-from-a-roc-curve But, I get a single threshold cutoff of

```
> head(cutoffs)
cut fpr tpr
1 Inf 0.000000 0.000000
2 1 0.173913 0.673913
3 0 1.000000 1.000000
```

How do I get multiple thresholds to get different Tpr and fpr rates for plotting a ROC curve?