| LED 25 names file.
| Created by YeoGirl Yun
| Date : 5/14/94
| The .all file is created using the following command:
|  led-creator24 3200 93284 led24.all 10
| The .data contains the first 200 elements.
|
| This data file is created using AHA's led creator program.
| Here is the relevant document from AHA
|
|------------------------------------------------------------------------------
|
|1. Title of Database: LED display domain + 17 irrelevant attributes
|
|2. Sources:
|   (a) Breiman,L., Friedman,J.H., Olshen,R.A., & Stone,C.J. (1984). 
|       Classification and Regression Trees.  Wadsworth International
|       Group: Belmont, California.  (see pages 43-49).
|   (b) Donor: David Aha 
|   (c) Date: 11/10/1988
|
|3. Past Usage: (many)
|     1. CART book (above):
|        -- Optimal Bayes classification rate: 74%
|        -- CART decision tree algorithm: 70%
|           -- 200 training and 5000 test instances
|        -- nearest neighbor algorithm: 41%
|     2. Aha,D.W., & Kibler,D. (1988). Unpublished data.
|        -- NTgrowth+ instance-based learning algorithm: (500 test instances)
|           -- 700 training instances: 70.7%
|           -- 1000 training instances: 71.5%
|
|4. Relevant Information Paragraph:
|     See the file names create-led.names.  This is an extension of the
|     LED display problem, but an additional 17 irrelevant attributes
|     are added to the instance space.  Their values are randomly
|     assigned the values 0 or 1.  Not an easy problem!
|
|5. Number of Instances: chosen by the user.
|
|6. Number of Attributes: 24 (all Boolean-valued)
|
|7. Attribute Information:
|   -- All attribute values are either 0 or 1, according to whether
|      the corresponding light is on or not for the decimal digit.
|   -- Each attribute (excluding the class attribute, which is an
|      integer ranging between 0 and 9 inclusive) has a 10% percent
|      chance of being inverted.
|
|8. Missing Attribute Values: None
|
|9. Class Distribution: 10% (Theoretical)
|   -- Each concept (digit) has the same theoretical probability
|      distribution.  The program randomly selects the attribute.
|
|------------------------------------------------------------------------------

0,1,2,3,4,5,6,7,8,9. | classes

attribute#1 : 0,1.
attribute#2 : 0,1.
attribute#3 : 0,1.
attribute#4 : 0,1.
attribute#5 : 0,1.
attribute#6 : 0,1.
attribute#7 : 0,1.
irrelevant1 : 0,1.
irrelevant2 : 0,1.
irrelevant3 : 0,1.
irrelevant4 : 0,1.
irrelevant5 : 0,1.
irrelevant6 : 0,1.
irrelevant7 : 0,1.
irrelevant8 : 0,1.
irrelevant9 : 0,1.
irrelevant10 : 0,1.
irrelevant11 : 0,1.
irrelevant12 : 0,1.
irrelevant13 : 0,1.
irrelevant14 : 0,1.
irrelevant15 : 0,1.
irrelevant16 : 0,1.
irrelevant17 : 0,1.