Fig. 8: Illustration of the two different procedures used to categorize the materials according to their topological types.
From: Machine learning on multiple topological materials datasets

The Tree 1 relies on four binary-classification steps, while Tree is based on a direct multiclass approach. The accuracy achieved with the five ML models (RF, AMM, MODNet, MEGNet, and XGBoost) are reported both at the final stage of both procedures, as well as at each step in Tree 1.