Why I get different probabilties each time I train the support vector machine (SVM) model?

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Sanushi Salgado

I think it's due to the stochastic nature of the algorithm. This guide might help you to understand it https://machinelearningmastery.com/stochastic-in-machine-learning/

Mehdi Azizmohammad Looha

Bahadorreza Ofoghi

As I said before, everything is exactly the same. The training set is the same too. However, the results are differents. You can test it in R software. Im confused.

Omar Rafique

Thank you. My question is ecactly why the results are different. What changes with each re-train?

I looked at these explanations. SVM uses a cross-validation step in developing the estimates of probabilities. So the probabilities in SVM dosen't have “transportability” and "reproducibility". We can not use the best cut-off point of a variable in other data with the similar variable.

s. Mohammad Mirbagheri

You may set a seed for random generator number to reproduce the exact results.