The LASSO model only includes 1228 parameters, far below the 897 409 parameters in the MPNN model, which likely explains why the LASSO model does not improve in accuracy when provided with more than 10 4 data points. Some routes to improving the accuracy of this linear regression model could be to add non-linear combinations of existing features or adding more features by differentiating functional groups based on second-nearest neighbors.