The type of splitting strategy used during the development of machine learning models is a crucial consideration when evaluating the accuracy and generalizability of a model. We compare three splitting strategies to illustrate this principle and to encourage the use of rigorous splitting strategies in subsequent work. In our regression task, the dye molecule and solvent molecule are both inputs to predict the peak wavelength of maximum absorption.