I have some QSAR models which are based on SVM, DT, MLP and Ensemble. After preprocessing the networks are trained to predict the IC50 of some drugs. I cant figure it out why the performance of SVM is so weak in this regression problem?
Thank you very much for your answer. Actually I used 4 algorithms and SVM performance was worst. I need to know the reason to be able to explain it in my manuscript.