数据挖掘常用的心脏病数据(From UCI)

http://archive.ics.uci.edu/ml/machine-learning-databases/statlog/heart/

 

该数据经常作为数据挖掘的示例。

 

This database contains 13 attributes (which have been extracted from
a larger set of 75)      
 


Attribute Information:
------------------------
      -- 1. age       年龄
      -- 2. sex       性别
      -- 3. chest pain type  (4 values)        胸部疼痛类型
      -- 4. resting blood pressure  静止血压
      -- 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