To assess whether a compound is druglike or not as early as possible is always critical in drug discovery process. There have been many efforts made to create sets of rules or filters which, it is hoped, will help chemists to identify drug-like molecules from non-drug molecules. However, among the chemical space of the druglike molecules, the minority will be approved drugs. Classifying approved drugs from experimental drugs may be more helpful to obtain future approved drugs. Therefore, discrimination of approved drugs from experimental ones has been done in this paper by analyzing the compounds in terms of existing drugs features and machine learning methods.