 
        
        
| Background: A mushroom, or toadstool, is the fleshy, spore-bearing
  fruiting body of a fungus, typically produced above ground on soil or on its
  food source. Identifying mushrooms requires a basic understanding of
  their macroscopic structure. Most are Basidiomycetes and gilled. Their
  spores, called basidiospores, are produced on the gills and fall in a fine
  rain of powder from under the caps as a result. At the microscopic level the
  basidiospores are shot off basidia and then fall between the gills in the
  dead air space. As a result, for most mushrooms, if the cap is cut off and
  placed gill-side-down overnight, a powdery impression reflecting the shape of
  the gills (or pores, or spines, etc.) is formed (when the fruit body is
  sporulating). The color of the powdery print, called a spore print, is used
  to help classify mushrooms and can help to identify them. Spore print colors
  include white (most common), brown, black, purple-brown, pink, yellow, and
  creamy, but almost never blue, green, or red. Learn which features spell certain death and which are
  most palatable in this dataset of mushroom characteristics. How certain can
  your model be? Abstract:
  From Audobon Society Field Guide; mushrooms described in terms of physical
  characteristics; classification: poisonous or edible | 
| Data Set Characteristics:   | Multivariate | Number of Instances: | 8124 | Area: | Life | 
| Attribute Characteristics: | Categorical | Number of Attributes: | 22 | Date Donated | 1987-04-27 | 
| Associated Tasks: | Classification | Missing Values? | Yes | Number of Web Hits: | 207495 | 
Relevant Papers:
Schlimmer,J.S. (1987). Concept Acquisition Through
Representational Adjustment (Technical Report 87-19). Doctoral disseration,
Department of Information and Computer Science, University of California,
Irvine. 
[Web Link] 
Iba,W., Wogulis,J., & Langley,P. (1988). Trading off Simplicity and
Coverage in Incremental Concept Learning. In Proceedings of the 5th
International Conference on Machine Learning, 73-79. Ann Arbor, Michigan:
Morgan Kaufmann. 
[Web Link] 
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