ENSEMBLED APPROACH FOR PREDICTING FACEBOOK CHECK-INS USING R-PROGRAMMING

Shobhana Kashyap, Kaur
IJRCS-International Journal of Research in Computer Science   unpublished
___________________________________________________________________________________________________ Abstract-With large dataset, it is very difficult to handle to work on the standalone machine. To cope with this kind of problem cloud environment is used. There is various cloud platforms for machine learning. R-Programming using cloud is one of the popular platforms. In this pursuit, Facebook check-ins dataset has been used, different machine learning algorithm has been executed on the given
more » ... ted on the given dataset to foresee accuracy for the most famous area. Boosted Tree model has been chosen as a powerful model since it gives the most astounding accuracy of 85.8% taken after by Decision Jungle model and Bayes Point Machine model. Further, these 3 models are being gathering, which has expanded the general accuracy to 87.91%. The trial comes about have additionally been assessed utilizing 9,768 occasions that obviously approve the most extreme accuracy through Ensembling and least execution time in cloud condition.
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