Performance Analysis of Machine Learning Classification Models for Predicting the Adult Income Levels

Machine Learning was introduced before the 1960s,but has gained popularity in the recent years due to the exponential growth of data. Machine Learning algorithms enable computers to learn without explicit programming, and Predictive Analytics is a branch of advanced analytics that aims to make predictions about unknown future events. By analyzing historical data, machine learning algorithms can make more precise and accurate predictions, which can aid decision-making processes for various organizations. Choosing the most suitable machine learning algorithm is crucial for accurately classifying and predicting data, and this depends heavily on the specific dataset being analyzed. The task involves predicting whether an individual earns more than $50,000 per year, and various classifiers were evaluated based on performance metrics such as accuracy, precision, and recall. The results indicate which Machine learning classification model is most effective for predicting adult income.