Big data can be defined as high volume, high velocity and high variety of data that require high performance processing. Predictive modelling is a process of creating a model to predict the future behavior from the data. A predictive model is made up of predictors which are factors that influence future results. A Proposed prediction model is identifies best prediction algorithm by evaluating the performance of an algorithm. The model contains preprocessing module and predicting module which trailed by performance evaluation to find best prediction algorithm. The preprocessing module emphasizes flow of preprocessing methods. The prediction module combines various efficient algorithms to prediction, amid them the best prediction algorithm can be identified by performance evaluation measurement.