| Converted from Irvine by Ronny Kohavi | Attributes are declared continuous although they have only 5 values. | The reason is that the are linearly ordered. | | 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 | L, B, R Left-Weight: continuous Left-Distance: continuous Right-Weight: continuous Right-Distance: continuous