Trying to get class probabilites of dependent variable through following codes using caret library and method "svm-radial". I have tried it on iris data set.
# finding optimal value of a tuning parameter
sigDist <- sigest(Species ~ . , data=Train, frac=1)
# creating a grid of two tuningparameters, .sigma comes from the earlier line.
# we are trying to find best value of C
svmTuneGrid <- data.frame(.sigma=sigDist[1], .C=2^(-2:7))
model_svmRadial <- train(Species ~. , data=Train, method='svmRadial', preProc=c("center","scale"),tuneGrid=svmTuneGrid , trControl=myControl,classProbs=TRUE)
Its producing errors and warnings:
model_svmRadial <- train(Species ~. , data=Train, method='svmRadial', preProc=c("center","scale"),tuneGrid=svmTuneGrid , trControl=myControl,classProbs=TRUE)
Something is wrong; all the Accuracy metric values are missing:
Accuracy Kappa
Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA
Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA
NA's :10 NA's :10
Error in train.default(x, y, weights = w, ...) : Stopping
In addition: There were 31 warnings (use warnings() to see them)
Removing classProbs=TRUE , train function is working fine . But I need the class probabilities. Please suggest how to get rid of error. Thanks in anticipation.