The experimental hydration free energy database, FreeSolv, prepared by Mobley et al., has been widely used and benchmarked by various physical solvation models as well as machine learning (ML) and deep learning models. The FreeSolv database has 643 small organic molecules with their experimental HFE and their SMILES (simplified molecular-input lineentry system). The database also includes the calculated HFE, enthalpy, and entropy data from explicit molecular dynamics simulations. These calculations utilized the GAFF force field, 42 AM1-BCC partial charges, and the TIP3P water model. The experimental HFE values have the mean and standard deviation as -3.82 and 4.84 kcal/mol, respectively. We have divided the total dataset into nine different groups based on the functional group or presence of a specific atom in the molecule. The eight groups are Alkanol, Alkanone, Alkene, Alkyl Alkanoate, Halo Alkane, Aromatic, Aliphatic cyclic, N-based Aliphatic, and the ninth, misc, is the group for molecules that do not come under any of the previous eight groups. We have assessed the performances of our models both for the whole dataset and these different groups.