{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-statistical-approach-to-adult-census-income","title":"A Statistical Approach to Adult Census Income Level Prediction","arxiv_id":"1810.10076","date":"2018-10-23","proceeding":null,"authors":["Navoneel Chakrabarty","Sanket Biswas"],"abstract":"The prominent inequality of wealth and income is a huge concern especially in\nthe United States. The likelihood of diminishing poverty is one valid reason to\nreduce the world's surging level of economic inequality. The principle of\nuniversal moral equality ensures sustainable development and improve the\neconomic stability of a nation. Governments in different countries have been\ntrying their best to address this problem and provide an optimal solution. This\nstudy aims to show the usage of machine learning and data mining techniques in\nproviding a solution to the income equality problem. The UCI Adult Dataset has\nbeen used for the purpose. Classification has been done to predict whether a\nperson's yearly income in US falls in the income category of either greater\nthan 50K Dollars or less equal to 50K Dollars category based on a certain set\nof attributes. The Gradient Boosting Classifier Model was deployed which\nclocked the highest accuracy of 88.16%, eventually breaking the benchmark\naccuracy of existing works.","url_abs":"http://arxiv.org/abs/1810.10076v1","url_pdf":"http://arxiv.org/pdf/1810.10076v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-statistical-approach-to-adult-census-income","repo_url":"https://github.com/brunocampos01/finding-donors","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1810.10076","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}