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The El Nino-Southern Oscillation (ENSO) plays a key role in the interannual variability of the global climate. Its prediction and recognition has been a big challenge to the atmospheric and ocean science modeling community despite significant advances in understanding, improved models, and enhanced observational networks. The present study proposes a new approach by using the support vector machines (SVM) classification model of machine learning algorithm to identify and possible predict the future ENSO events. Th...