Probability distribution for finding the position of each galaxy on the hyper-plane of two photometric parameters R50/R90 vs. M_g − M_i. The training sample (Fig. 1) is embedded in each of the panels, which shows the effectiveness of the methods used to classify galaxy types at z < 0.1. The accuracy of each applied machine learning method for the two-parameter classification is written in the left corner of each panel.