Commit Inicial

data/tanveer/balance-scale/balance-scale.names

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+1. Title: Balance Scale Weight & Distance Database
+
+2. Source Information: 
+    (a) Source: Generated to model psychological experiments reported
+		by Siegler, R. S. (1976).  Three Aspects of Cognitive
+		Development.  Cognitive Psychology, 8, 481-520.
+    (b) Donor: Tim Hume (hume@ics.uci.edu)
+    (c) Date: 22 April 1994
+
+3. Past Usage: (possibly different formats of this data)
+   - Publications
+	1. Klahr, D., & Siegler, R.S. (1978).  The Representation of
+	   Children's Knowledge.  In H. W. Reese & L. P. Lipsitt (Eds.),
+	   Advances in Child Development and Behavior, pp. 61-116.  New
+	   York: Academic Press 
+	2. Langley,P. (1987).  A General Theory of Discrimination
+	   Learning.  In D. Klahr, P. Langley, & R. Neches (Eds.),
+	   Production System Models of Learning and Development, pp.
+	   99-161. Cambridge, MA: MIT Press
+	3. Newell, A. (1990).  Unified Theories of Cognition.
+	   Cambridge, MA: Harvard University Press
+	4. McClelland, J.L. (1988).  Parallel Distibuted Processing:
+	   Implications for Cognition and Development.  Technical
+	   Report AIP-47, Department of Psychology, Carnegie-Mellon
+	   University 
+	5. Shultz, T., Mareschal, D., & Schmidt, W. (1994).  Modeling
+	   Cognitive Development on Balance Scale Phenomena. Machine
+	   Learning, Vol. 16, pp. 59-88.
+
+4. Relevant Information: 
+	This data set was generated to model psychological
+	experimental results.  Each example is classified as having the
+	balance scale tip to the right, tip to the left, or be
+	balanced.  The attributes are the left weight, the left
+	distance, the right weight, and the right distance.  The
+	correct way to find the class is the greater of 
+	(left-distance * left-weight) and (right-distance *
+	right-weight).  If they are equal, it is balanced.
+
+5. Number of Instances: 625 (49 balanced, 288 left, 288 right)
+
+6. Number of Attributes: 4 (numeric) + class name = 5
+
+7. Attribute Information:
+	1. Class Name: 3 (L, B, R)
+	2. Left-Weight: 5 (1, 2, 3, 4, 5)
+	3. Left-Distance: 5 (1, 2, 3, 4, 5)
+	4. Right-Weight: 5 (1, 2, 3, 4, 5)
+	5. Right-Distance: 5 (1, 2, 3, 4, 5)
+
+8. Missing Attribute Values: 
+	none
+
+9. Class Distribution: 
+   1. 46.08 percent are L
+   2. 07.84 percent are B
+   3. 46.08 percent are R