Using a Supervised Learning Model: Two-Class Boosted Decision Tree Algorithm for Income Prediction

Abstract

People always try to think or ponder about things in advance regarding the decisions they make, whether if it is a good idea or even if it is not a good idea. If the person has all the correct and necessary information, good chances are that the decision will be beneficial at the end of the day. Sometimes in real life we tend to miss specific details, which need to be pondered about in order to make an assertive decision. This is when predictive analytics enters in action. These mathematical models involve statistics in order to get the most accurate and precise result so we can make an assertive decision. In these modern days where artificial intelligence is no longer a fiction movie from the past, there is a new tool called Machine Learning which we can use as a means to help us achieve precision when making or predicting an event. In this particular project the objective is to determine if there is a direct relationship between the academic educations of a person with his income. Key Terms - Artificial Intelligence, Income, Machine Learning, Predictive Analytics.