Clemence Corminboeuf

Feature Selection in Multivariate Linear Regression Models for Data-Efficient Reaction Optimization

Abstract We introduce NaviCat ReaFS (reaction feature selection), a framework for testing and supporting multivariate linear regression models for reaction optimization in small, heterogeneous datasets, where overfitting risk is high and additional experiments are costly. ReaFS c...