added tutorials for UNAM

Author: omazapa

C50/breast-cancer.data

@@ -0,0 +1,139 @@
+| Citation Request:
+|    This breast cancer databases was obtained from the University of Wisconsin
+|    Hospitals, Madison from Dr. William H. Wolberg.  If you publish results
+|    when using this database, then please include this information in your
+|    acknowledgements.  Also, please cite one or more of:
+| 
+|    1. O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear 
+|       programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.
+| 
+|    2. William H. Wolberg and O.L. Mangasarian: "Multisurface method of 
+|       pattern separation for medical diagnosis applied to breast cytology", 
+|       Proceedings of the National Academy of Sciences, U.S.A., Volume 87, 
+|       December 1990, pp 9193-9196.
+| 
+|    3. O. L. Mangasarian, R. Setiono, and W.H. Wolberg: "Pattern recognition 
+|       via linear programming: Theory and application to medical diagnosis", 
+|       in: "Large-scale numerical optimization", Thomas F. Coleman and Yuying
+|       Li, editors, SIAM Publications, Philadelphia 1990, pp 22-30.
+| 
+|    4. K. P. Bennett & O. L. Mangasarian: "Robust linear programming 
+|       discrimination of two linearly inseparable sets", Optimization Methods
+|       and Software 1, 1992, 23-34 (Gordon & Breach Science Publishers).
+| 
+| 1. Title: Wisconsin Breast Cancer Database (January 8, 1991)
+| 
+| 2. Sources:
+|    -- Dr. WIlliam H. Wolberg (physician)
+|       University of Wisconsin Hospitals
+|       Madison, Wisconsin
+|       USA
+|    -- Donor: Olvi Mangasarian ([email protected])
+|       Received by David W. Aha ([email protected])
+|    -- Date: 15 July 1992
+| 
+| 3. Past Usage:
+| 
+|    Attributes 2 through 10 have been used to represent instances.
+|    Each instance has one of 2 possible classes: benign or malignant.
+| 
+|    1. Wolberg,~W.~H., \& Mangasarian,~O.~L. (1990). Multisurface method of 
+|       pattern separation for medical diagnosis applied to breast cytology. In
+|       {\it Proceedings of the National Academy of Sciences}, {\it 87},
+|       9193--9196.
+|       -- Size of data set: only 369 instances (at that point in time)
+|       -- Collected classification results: 1 trial only
+|       -- Two pairs of parallel hyperplanes were found to be consistent with
+|          50% of the data
+|          -- Accuracy on remaining 50% of dataset: 93.5%
+|       -- Three pairs of parallel hyperplanes were found to be consistent with
+|          67% of data
+|          -- Accuracy on remaining 33% of dataset: 95.9%
+| 
+|    2. Zhang,~J. (1992). Selecting typical instances in instance-based
+|       learning.  In {\it Proceedings of the Ninth International Machine
+|       Learning Conference} (pp. 470--479).  Aberdeen, Scotland: Morgan
+|       Kaufmann.
+|       -- Size of data set: only 369 instances (at that point in time)
+|       -- Applied 4 instance-based learning algorithms 
+|       -- Collected classification results averaged over 10 trials
+|       -- Best accuracy result: 
+|          -- 1-nearest neighbor: 93.7%
+|          -- trained on 200 instances, tested on the other 169
+|       -- Also of interest:
+|          -- Using only typical instances: 92.2% (storing only 23.1 instances)
+|          -- trained on 200 instances, tested on the other 169
+| 
+| 4. Relevant Information:
+| 
+|    Samples arrive periodically as Dr. Wolberg reports his clinical cases.
+|    The database therefore reflects this chronological grouping of the data.
+|    This grouping information appears immediately below, having been removed
+|    from the data itself:
+| 
+|      Group 1: 367 instances (January 1989)
+|      Group 2:  70 instances (October 1989)
+|      Group 3:  31 instances (February 1990)
+|      Group 4:  17 instances (April 1990)
+|      Group 5:  48 instances (August 1990)
+|      Group 6:  49 instances (Updated January 1991)
+|      Group 7:  31 instances (June 1991)
+|      Group 8:  86 instances (November 1991)
+|      -----------------------------------------
+|      Total:   699 points (as of the donated datbase on 15 July 1992)
+| 
+|    Note that the results summarized above in Past Usage refer to a dataset
+|    of size 369, while Group 1 has only 367 instances.  This is because it
+|    originally contained 369 instances; 2 were removed.  The following
+|    statements summarizes changes to the original Group 1's set of data:
+| 
+|    #####  Group 1 : 367 points: 200B 167M (January 1989)
+|    #####  Revised Jan 10, 1991: Replaced zero bare nuclei in 1080185 & 1187805
+|    #####  Revised Nov 22,1991: Removed 765878,4,5,9,7,10,10,10,3,8,1 no record
+|    #####                  : Removed 484201,2,7,8,8,4,3,10,3,4,1 zero epithelial
+|    #####                  : Changed 0 to 1 in field 6 of sample 1219406
+|    #####                  : Changed 0 to 1 in field 8 of following sample:
+|    #####                  : 1182404,2,3,1,1,1,2,0,1,1,1
+| 
+| 5. Number of Instances: 699 (as of 15 July 1992)
+| 
+| 6. Number of Attributes: 10 plus the class attribute
+| 
+| 7. Attribute Information: (class attribute has been moved to last column)
+| 
+|    #  Attribute                     Domain
+|    -- -----------------------------------------
+|    1. Sample code number            id number
+|    2. Clump Thickness               1 - 10
+|    3. Uniformity of Cell Size       1 - 10
+|    4. Uniformity of Cell Shape      1 - 10
+|    5. Marginal Adhesion             1 - 10
+|    6. Single Epithelial Cell Size   1 - 10
+|    7. Bare Nuclei                   1 - 10
+|    8. Bland Chromatin               1 - 10
+|    9. Normal Nucleoli               1 - 10
+|   10. Mitoses                       1 - 10
+|   11. Class:                        (2 for benign, 4 for malignant)
+| 
+| 8. Missing attribute values: 16
+| 
+|    There are 16 instances in Groups 1 to 6 that contain a single missing 
+|    (i.e., unavailable) attribute value, now denoted by "?".  
+| 
+| 9. Class distribution:
+|  
+|    Benign: 458 (65.5%)
+|    Malignant: 241 (34.5%)
+
+2, 4
+
+ Sample code number: 	ignore
+ Clump Thickness: 	continuous
+ Uniformity of Cell Size: 	continuous
+ Uniformity of Cell Shape: 	continuous
+ Marginal Adhesion: 	continuous
+ Single Epithelial Cell Size: 	continuous
+ Bare Nuclei: 	continuous
+ Bland Chromatin: 	continuous
+ Normal Nucleoli: 	continuous
+ Mitoses: 	continuous

C50/breast-cancer.names

@@ -0,0 +1,199 @@
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C50/breast-cancer.test

@@ -0,0 +1,14 @@
+sunny, 85, 85, false, Don't Play
+sunny, 80, 90, true, Don't Play
+overcast, 83, 78, false, Play
+rain, 70, 96, false, Play
+rain, 68, 80, false, Play
+rain, 65, 70, true, Don't Play
+overcast, 64, 65, true, Play
+sunny, 72, 95, false, Don't Play
+sunny, 69, 70, false, Play
+rain, 75, 80, false, Play
+sunny, 75, 70, true, Play
+overcast, 72, 90, true, Play
+overcast, 81, 75, false, Play
+rain, 71, 80, true, Don't Play

C50/c5.0

@@ -0,0 +1,6 @@
+Play, Don't Play.
+
+outlook: sunny, overcast, rain.
+temperature: continuous.
+humidity: continuous.
+windy: true, false.