Fig. 4
From: Identification of advanced spin-driven thermoelectric materials via interpretable machine learning
Interpretable data-driven model created by FAB/HMEs. One type of interpretable machine learning called factorized asymptotic Bayesian inference hierarchical mixture of experts (FAB/HMEs) creates piecewise sparse linear model, which is visualized with a tree structure and b regression models. Scientists can interpret tree structure and regression models from viewpoint of materials science and physics
