To the best of our knowledge, our models are the most accurate models in predicting the oscillator strength and the excitation energy at the highest intensity transition of organic compounds. Two existing approaches predicted excitation spectra based on the HOMO-LUMO gap, 19,20 not the highest intensity transition, which makes a direct comparison with our model hard. Only Montavon and coworkers developed a model that predicts the highest intensity transition by using fully connected hidden layers with a multi-task neural network. They optimized the 3D geometry of molecules using a DFT method starting from SMILES.