The Role of Composite Indices in International Economic Diplomacy

Non-aqueous battery electrolytes: high-throughput experimentation and machine learning-aided optimization of ionic conductivity

“…27,28 Furthermore, a qualitative feature importance for each objective function can be obtained by tting a cheap Random Forest model and calculating the Gini importance. 29,30 The feature importance (ESI, Fig. S12 †), reveals that the salt concentration is the most important feature, followed by the inverse temperature for modeling the raw ionic conductivity.…”