N/A

Data Set Information:

Cost Matrix

_______ abse  pres
absence 0 1
presence  5 0

where the rows represent the true values and the columns the predicted.

Attribute Information:

Attribute Information:
------------------------
     -- 1. age      
     -- 2. sex      
     -- 3. chest pain type  (4 values)      
     -- 4. resting blood pressure  
     -- 5. serum cholesterol 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

Relevant Papers:

N/A

Papers That Cite This Data Set¹:

Gavin Brown. Diversity in Neural Network Ensembles. The University of Birmingham. 2004.  [View Context].

Igor Kononenko and Edvard Simec and Marko Robnik-Sikonja. Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. Appl. Intell, 7. 1997.  [View Context].

Elena Smirnova and Ida G. Sprinkhuizen-Kuyper and I. Nalbantis and b. ERIM and Universiteit Rotterdam. Unanimous Voting using Support Vector Machines. IKAT, Universiteit Maastricht.  [View Context].

Alexander K. Seewald. Dissertation Towards Understanding Stacking Studies of a General Ensemble Learning Scheme ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Naturwissenschaften.  [View Context].

Citation Request:

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