SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset

A real world big dataset with disproportionate classification is called imbalance dataset which badly impacts the predictive result of machine learning classification algorithms. Most of the datasets faces the class imbalance problem in machine learning. Most of the algorithms in machine learning work perfectly with about equal samples counts for every class. A variety of solutions have been suggested in the past time by the different researchers and applied to deal with the imbalance dataset. The performance of these methods is lower than the satisfactory level. It is very difficult to design an efficient method using machine learning algorithms without making the imbalance dataset to balance dataset. In this paper we have designed an method named SGBBA: an efficient method…