Classification is the process of finding a model that describes and distinguishes data classes or concepts, for the purpose of being able to use the model to predict the class of objects whose class label is unknown. Classification method of the unknown dataset can be obtained by several processes. Online boosting is one of the ensemble classifier method which works in an online fashion where each data is processed sequentially through a single scan. Boosting works based on the ensemble class