Optimized Features Based Machine Learning Model for Adult Salary Prediction

Abstract

A nation’s economic stability is bolstered and long-term progress is ensured by the idea of universal moral equality. Many governments are putting a lot of effort into addressing this problem and coming up with a workable answer. In order to determine what decisions an adult can make in the future and whether or not he is financially independent and secure, it is predicted in this article whether his wage will be larger than ${\$}$50,000 per year or not. Data mining technologies and machine learning algorithms both play a big part in this. This paper focuses on eliminating useless features using various machine learning approaches and algorithms and there is room for improvement. So, using the Gini Index, prominent features are identified and prioritized which applied on machine learning algorithm boosted the performance upto accuracy of 87.82 percent.