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probas
2008 May 13
0
Un-reproductibility of SVM classification with 'e1071' libSVM package
...rnorm(100)
c = runif(100)>0.5
x2 = rnorm(100)# test set
y2 = rnorm(100)
# learning a svm model 2 times, predicting 2 times, and results differ !
set.seed(15)
model = svm(data.frame(x, y), as.factor(c), probability=TRUE )
pred1 = predict( model, newdata = data.frame(x2, y2), probability=TRUE)
probas1 = as.numeric(attr(pred1,"probabilities")[,"TRUE"])
set.seed(15)
model = svm(data.frame(x, y), as.factor(c), probability=TRUE )
pred2 = predict( model, newdata = data.frame(x2, y2), probability=TRUE)
probas2 = as.numeric(attr(pred2,"probabilities")[,"TRUE"]...