After the parameter optimization, we tested predictions from different ML models for the area per lipid both against the remaining 20% of the databank and against area per lipids reported from simulations of membranes containing mixtures of POPC, POPE, POPS, PI, sphingomyelin lipids and cholesterol that are not included in the databank. Essential differences between models were not observed when predicting area per lipids of 20% of simulations selected as the test set, but linear regression and Ridge models gave the best correlations with the literature data (predictions from the linear regression model are shown in Fig. and from other models in Fig. in the supplementary information). The linear regression model was selected for further studies due to its simplicity.