ML model prediction to optimize composition of cellulose based film

This data set contains properties of cellulose-based film prepared with different proportions of PEG, malic acid, and hexdecanoate. Four attributes of the film are modeled with Fitlm (ANN) and ensemble modeling tools (RF) while optimizing hyperparameters. The composite desirability-based optimization workflow is presented.