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Statlog(心脏)数据集

Statlog(心脏)数据集

Scene:

Life

Data Type:

Classification
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Data Preview ? 3K

    Data Structure ?

    *数据结构实际以真实数据为准

    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:

    Please refer to the Machine Learning Repository's citation policy

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