The highest oscillator strength and associated excitation energy among ten excitation states of molecules are used to train the model. Molecular fingerprints and various molecular property descriptors are used as input features for our model. From the RF results, molecular fragments that play essential roles in determining the molecular electronic properties are identified. Chemical insights into critical factors determining the electronic properties of molecules will be discussed.