SMD6A is a two-layer ensemble method. This method utilizes five different feature encodings (RFHC, KNN, NUM, MBE, and DPE_LPF) and two classifiers (SVM and ERT). In the first-layer, five different encodings are integrated through ensemble approach indvidually for SVM and ERT. Whereas the second-layer, integrates SVM and ERT to make a final prediction. For a given DNA sequence, SMD6A predicts its calss and probability values.