Additional file 1 of Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications Chia-Hsiu Chen Kenichi Tanaka Masaaki Kotera Kimito Funatsu 10.6084/m9.figshare.12050823.v1 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Comparison_and_improvement_of_the_predictability_and_interpretability_with_ensemble_learning_models_in_QSPR_applications/12050823 Additional file 1. The supplementary material containing detail descriptor calculations, hyper-parameters of models, and feature importance outputs. 2020-03-31 03:44:23 QSPR Quantitative structure–property Fluorescence Liquid crystal Ensemble learning Blending Decision tree Random forest Extremely randomized trees