To verify that semiempirical methods can reproduce a trend that is similar to the traditional computational scheme, we make two data sets of 100 random double substituted DHA derivatives each. One data set is selected to test the back reaction barrier, and the other is chosen to examine the storage energy. The 100 samples in each test set are chosen, such that they represent a wide range of storage energies and back reaction barriers. The data sets are separated into three categories: high barriers/storage energies, medium, and low based on the SQM energies. The data is distribution such that there are 20 samples in the high energy category, 60 in the medium, and 20 in the low.