soybean.arff

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%
% Notes: The large soybean database (soybean-large-data.arff) and it's 
%        corresponding test database (soybean-large-test.arff) combined
%        into a single file (soybean-large.arff).
%
% 1. Title: Large Soybean Database
% 
% 2. Sources:
%      (a) R.S. Michalski and R.L. Chilausky "Learning by Being Told and
%          Learning from Examples: An Experimental Comparison of the Two
% 	 Methods of Knowledge Acquisition in the Context of Developing
% 	 an Expert System for Soybean Disease Diagnosis", International
% 	 Journal of Policy Analysis and Information Systems, Vol. 4,
% 	 No. 2, 1980.
%      (b) Donor: Ming Tan & Jeff Schlimmer (Jeff.Schlimmer%cs.cmu.edu)
%      (c) Date: 11 July 1988
% 
% 3. Past Usage:
%     1. See above.
%     2. Tan, M., & Eshelman, L. (1988). Using weighted networks to represent
%        classification knowledge in noisy domains.  Proceedings of the Fifth
%        International Conference on Machine Learning (pp. 121-134). Ann Arbor,
%         Michigan: Morgan Kaufmann.
%         -- IWN recorded a 97.1% classification accuracy 
%            -- 290 training and 340 test instances
%      3. Fisher,D.H. & Schlimmer,J.C. (1988). Concept Simplification and
%         Predictive Accuracy. Proceedings of the Fifth
%         International Conference on Machine Learning (pp. 22-28). Ann Arbor,
%         Michigan: Morgan Kaufmann.
%         -- Notes why this database is highly predictable
% 
% 4. Relevant Information Paragraph:
%     There are 19 classes, only the first 15 of which have been used in prior
%     work.  The folklore seems to be that the last four classes are
%     unjustified by the data since they have so few examples.
%     There are 35 categorical attributes, some nominal and some ordered.  The
%     value ``dna'' means does not apply.  The values for attributes are
%     encoded numerically, with the first value encoded as ``0,'' the second as
%     ``1,'' and so forth.  An unknown values is encoded as ``?''.
% 
% 5. Number of Instances: 683
% 
% 6. Number of Attributes: 35 (all have been nominalized)
% 
% 7. Attribute Information: 
%    -- 19 Classes
%     diaporthe-stem-canker, charcoal-rot, rhizoctonia-root-rot,
%     phytophthora-rot, brown-stem-rot, powdery-mildew,
%     downy-mildew, brown-spot, bacterial-blight,
%     bacterial-pustule, purple-seed-stain, anthracnose,
%     phyllosticta-leaf-spot, alternarialeaf-spot,
%     frog-eye-leaf-spot, diaporthe-pod-&-stem-blight,
%     cyst-nematode, 2-4-d-injury, herbicide-injury.	
%
%    1. date:		april,may,june,july,august,september,october,?.
%    2. plant-stand:	normal,lt-normal,?.
%    3. precip:		lt-norm,norm,gt-norm,?.
%    4. temp:		lt-norm,norm,gt-norm,?.
%    5. hail:		yes,no,?.
%    6. crop-hist:	diff-lst-year,same-lst-yr,same-lst-two-yrs,
%                        same-lst-sev-yrs,?.
%    7. area-damaged:	scattered,low-areas,upper-areas,whole-field,?.
%    8. severity:	minor,pot-severe,severe,?.
%    9. seed-tmt:	none,fungicide,other,?.
%   10. germination:	'90-100%','80-89%','lt-80%',?.
%   11. plant-growth:	norm,abnorm,?.
%   12. leaves:		norm,abnorm.
%   13. leafspots-halo:	absent,yellow-halos,no-yellow-halos,?.