A small classic dataset from Fisher, 1936. One of the earliest known datasets used for evaluating classification methods.
Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset.
Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods.
Images of 13,611 grains of 7 different registered dry beans were taken with a high-resolution camera. A total of 16 features; 12 dimensions and 4 shape forms, were obtained from the grains.
Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/).
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y).
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