Data Mining common heart disease data (from UCI)

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

 

This data is often used as an example of data mining.

 

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

Attribute Information:
------------------------
-- 1. Age
-- 2. Sex gender
-- 3. Chest pain type (4 values) chest pain type
-- 4. resting blood pressure static 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 :,
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