JADBio Automated Machine Learning Platform AutoML
Automated Machine Learning was used to identify most important metabolic features separating the groups of fecal matter plasticity Samples were divided into three separate groups indicating low MP1 < 30 medium 30 < MP2 < 75 and high MP3 > 75 MP and 174 metabolic features were analyzed for possible differentiation