Statlog（心脏）数据集

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