{"status":200,"statusText":"OK","data":{"uci_id":2,"name":"Adult","repository_url":"https://archive.ics.uci.edu/dataset/2/adult","data_url":"https://archive.ics.uci.edu/static/public/2/data.csv","abstract":"Predict whether annual income of an individual exceeds $50K/yr based on census data. Also known as \"Census Income\" dataset. ","area":"Social Science","tasks":["Classification"],"characteristics":["Multivariate"],"num_instances":48842,"num_features":14,"feature_types":["Categorical","Integer"],"demographics":["Age","Income","Education Level","Other","Race","Sex"],"target_col":["income"],"index_col":null,"has_missing_values":"yes","missing_values_symbol":"NaN","year_of_dataset_creation":1996,"last_updated":"Tue Sep 24 2024","dataset_doi":"10.24432/C5XW20","creators":["Barry Becker","Ronny Kohavi"],"intro_paper":null,"variables":[{"name":"age","role":"Feature","type":"Integer","demographic":"Age","description":"N/A","units":null,"missing_values":"no"},{"name":"workclass","role":"Feature","type":"Categorical","demographic":"Income","description":"Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.","units":null,"missing_values":"yes"},{"name":"fnlwgt","role":"Feature","type":"Integer","demographic":null,"description":null,"units":null,"missing_values":"no"},{"name":"education","role":"Feature","type":"Categorical","demographic":"Education Level","description":" Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.","units":null,"missing_values":"no"},{"name":"education-num","role":"Feature","type":"Integer","demographic":"Education Level","description":null,"units":null,"missing_values":"no"},{"name":"marital-status","role":"Feature","type":"Categorical","demographic":"Other","description":"Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.","units":null,"missing_values":"no"},{"name":"occupation","role":"Feature","type":"Categorical","demographic":"Other","description":"Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.","units":null,"missing_values":"yes"},{"name":"relationship","role":"Feature","type":"Categorical","demographic":"Other","description":"Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.","units":null,"missing_values":"no"},{"name":"race","role":"Feature","type":"Categorical","demographic":"Race","description":"White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.","units":null,"missing_values":"no"},{"name":"sex","role":"Feature","type":"Binary","demographic":"Sex","description":"Female, Male.","units":null,"missing_values":"no"},{"name":"capital-gain","role":"Feature","type":"Integer","demographic":null,"description":null,"units":null,"missing_values":"no"},{"name":"capital-loss","role":"Feature","type":"Integer","demographic":null,"description":null,"units":null,"missing_values":"no"},{"name":"hours-per-week","role":"Feature","type":"Integer","demographic":null,"description":null,"units":null,"missing_values":"no"},{"name":"native-country","role":"Feature","type":"Categorical","demographic":"Other","description":"United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.","units":null,"missing_values":"yes"},{"name":"income","role":"Target","type":"Binary","demographic":"Income","description":">50K, <=50K.","units":null,"missing_values":"no"}],"additional_info":{"summary":"Extraction was done by Barry Becker from the 1994 Census database.  A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))\n\nPrediction task is to determine whether a person's income is over $50,000 a year.\n","purpose":null,"funded_by":null,"instances_represent":null,"recommended_data_splits":null,"sensitive_data":null,"preprocessing_description":null,"variable_info":"Listing of attributes:\r\n\r\n>50K, <=50K.\r\n\r\nage: continuous.\r\nworkclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.\r\nfnlwgt: continuous.\r\neducation: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.\r\neducation-num: continuous.\r\nmarital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.\r\noccupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.\r\nrelationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.\r\nrace: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.\r\nsex: Female, Male.\r\ncapital-gain: continuous.\r\ncapital-loss: continuous.\r\nhours-per-week: continuous.\r\nnative-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.","citation":null}}}