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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/SLP/examples/UCI_DataSets/zoo.names
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
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+1. Title: Zoo database
+
+2. Source Information
+   -- Creator: Richard Forsyth
+   -- Donor: Richard S. Forsyth 
+             8 Grosvenor Avenue
+             Mapperley Park
+             Nottingham NG3 5DX
+             0602-621676
+   -- Date: 5/15/1990
+ 
+3. Past Usage:
+   -- None known other than what is shown in Forsyth's PC/BEAGLE User's Guide.
+
+4. Relevant Information:
+   -- A simple database containing 17 Boolean-valued attributes.  The "type"
+      attribute appears to be the class attribute.  Here is a breakdown of
+      which animals are in which type: (I find it unusual that there are
+      2 instances of "frog" and one of "girl"!)
+
+      Class# Set of animals:
+      ====== ===============================================================
+           1 (41) aardvark, antelope, bear, boar, buffalo, calf,
+                  cavy, cheetah, deer, dolphin, elephant,
+                  fruitbat, giraffe, girl, goat, gorilla, hamster,
+                  hare, leopard, lion, lynx, mink, mole, mongoose,
+                  opossum, oryx, platypus, polecat, pony,
+                  porpoise, puma, pussycat, raccoon, reindeer,
+                  seal, sealion, squirrel, vampire, vole, wallaby,wolf
+           2 (20) chicken, crow, dove, duck, flamingo, gull, hawk,
+                  kiwi, lark, ostrich, parakeet, penguin, pheasant,
+                  rhea, skimmer, skua, sparrow, swan, vulture, wren
+           3 (5)  pitviper, seasnake, slowworm, tortoise, tuatara 
+           4 (13) bass, carp, catfish, chub, dogfish, haddock,
+                  herring, pike, piranha, seahorse, sole, stingray, tuna
+           5 (4)  frog, frog, newt, toad 
+           6 (8)  flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp
+           7 (10) clam, crab, crayfish, lobster, octopus,
+                  scorpion, seawasp, slug, starfish, worm
+
+5. Number of Instances: 101
+
+6. Number of Attributes: 18 (animal name, 15 Boolean attributes, 2 numerics)
+
+7. Attribute Information: (name of attribute and type of value domain)
+   1. animal name:      Unique for each instance
+   2. hair		Boolean
+   3. feathers		Boolean
+   4. eggs		Boolean
+   5. milk		Boolean
+   6. airborne		Boolean
+   7. aquatic		Boolean
+   8. predator		Boolean
+   9. toothed		Boolean
+  10. backbone		Boolean
+  11. breathes		Boolean
+  12. venomous		Boolean
+  13. fins		Boolean
+  14. legs		Numeric (set of values: {0,2,4,5,6,8})
+  15. tail		Boolean
+  16. domestic		Boolean
+  17. catsize		Boolean
+  18. type		Numeric (integer values in range [1,7])
+
+8. Missing Attribute Values: None
+
+9. Class Distribution: Given above
+