Ataxia is a neurological disorder which is identified by a lack of physical coordination, which affects human in their speech, eyesight, and even motions of walking and picking up an object. Considering the cerebellum’s function in coordinating and fine-tuning shoulder motions, the characteristics linked to left and right shoulder movements are most likely indicative of cerebellar ataxia. Accurate shoulder movement is a key component of overall motor coordination, and impairments in this area are characteristic of cerebellar dysfunction. The objective of this study is to use gait features and distinguish normal and ataxia person with a comparative analysis between random forest and gradient boosting algorithm, respectively.