NB-UVB Phototherapy is one of the most common treatments administrated by dermatologists for psoriasis patients. Although in general, the treatment results in improving the condition, it also can worsen it. If a model can predict the treatment response before hand, the dermatologists can adjust the treatment accordingly. In this paper, we use data mining techniques and conduct four experiments. The best performance of all four experiments was obtained by the stacked classifier made of hyper parameter tuned Random Forest, kSVM and ANN base learners, learned using L1-Regularized Logistic Regression super learner.
