Predict and classify the income class. Accuracy should be more than 70%.
Given various features, the aim is to build a predictive model to determine the income level for people in US. The income levels are binned at below 50K and above 50K. This is a binary classification problem. So we need to predict whether the U.S. citizen earns above 50k or below 50k.