Magnetization in iron based compounds: A machine learning model analysis

In material science domain, the data availability has made it possible to design and test machine learning models not only to strengthen our understanding of various properties of materials but also to give predictive capabilities through finding trends and patterns. Here, we report the insight into magnetization of Iron based compounds using the machine learning model and by doing the model interpretability analysis using SHapley Additive exPlanations. Most of the Iron based compounds are magnetic in nature and are well studied with abundant data available in different repositories. We have used data from Materials Project.