<i>LGB-Stack</i>: Stacked Generalization with <i>LightGBM</i> for Highly Accurate Predictions of Polymer Bandgap
Kai Leong Goh, Atsushi Goto, Yunpeng Lu
Abstract
at the train/test split ratio of 80/20 were 0.92 and 0.41, respectively. The accuracy scores further improved to 0.94 and 0.34, respectively, when the train/test split ratio of 95/5 was used.
Topics & Concepts
Stack (abstract data type)GeneralizationMaterials sciencePolymerOptoelectronicsComputer scienceMathematicsComposite materialMathematical analysisProgramming languageMachine Learning in Materials ScienceCCD and CMOS Imaging SensorsNeural Networks and Applications