The main objective of the dataset is to classify people earning <=50k or >50k based on several explanatory factors affecting the income of a person like Age, Occupation, Education, etc.
We are working on Income Prediction problem associated with the Adult Income Census dataset. The goal is to accurately predict whether or not person is making more or less than $50,000 a year.
Dataset_columns = ['age','workclass','fnlwgt','education','education-num','marital-status','occupation', 'relationship','race','sex','capital-gain','capital-loss','hours-per-week','country','salary']
Web Interface 