7This paper presents machine learning experiments performed over results of galaxy classification into 8 elliptical (E) and spiral (S) with morphological parameters: concetration (CN), assimetry metrics (A3), 9 smoothness metrics (S3), entropy (H) and gradient pattern analysis parameter (GA). Except concentration, 10 all parameters performed a image segmentation pre-processing. For supervision and to compute confusion 11 matrices, we used as true label the galaxy classification from GalaxyZoo. With a 48145 objects dataset 12 after preprocessing (44760 galaxies labeled as S and 3385 as E), we performed experiments with Support 13