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

1 files changed, 44 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/heart.doc b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/heart.doc
new file mode 100644
index 00000000..a75fa046
--- /dev/null
+++ b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/heart.doc
@@ -0,0 +1,44 @@
+This database contains 13 attributes (which have been extracted from
+a larger set of 75)       
+  
+
+
+Attribute Information:
+------------------------
+      -- 1. age       
+      -- 2. sex       
+      -- 3. chest pain type  (4 values)       
+      -- 4. resting blood pressure  
+      -- 5. serum cholestoral in mg/dl      
+      -- 6. fasting blood sugar > 120 mg/dl       
+      -- 7. resting electrocardiographic results  (values 0,1,2) 
+      -- 8. maximum heart rate achieved  
+      -- 9. exercise induced angina    
+      -- 10. oldpeak = ST depression induced by exercise relative to rest   
+      -- 11. the slope of the peak exercise ST segment     
+      -- 12. number of major vessels (0-3) colored by flourosopy        
+      -- 13.  thal: 3 = normal; 6 = fixed defect; 7 = reversable defect     
+
+Attributes types
+-----------------
+
+Real: 1,4,5,8,10,12
+Ordered:11,
+Binary: 2,6,9
+Nominal:7,3,13
+
+Variable to be predicted
+------------------------
+Absence (1) or presence (2) of heart disease
+
+Cost Matrix
+
+	 abse  pres
+absence	  0	1
+presence  5	0
+
+where the rows represent the true values and the columns the predicted.
+
+No missing values.
+
+270 observations