We reported the successful use of 1 H NMR spectral features (chemical shift, J-coupling, integral values, and multiplicity) to predict structural groups in small molecules. Common classifiers found in the sklearn python library were employed and trained in oversampled databases. The five best models were tested against ten selected structures and all models showed an accuracy higher than 0.