Classification performance varies between different runs with the same set of parameters


#1

I’m using the classifiers in meta.classify for text classification. The performance varies for ~0.01 F1 score between different runs with the same set of parameters (SVM and logistic regression). I wonder what could be the possible reasons since these are deterministic classifiers. My guess could be due to some random initialization during the optimization?