Description

Writing from scratch a classifier to predict heart diseases using knn.

Dataset:

http://archive.ics.uci.edu/ml/datasets/Heart+Disease

Algorithm:

K nearest neighbours using ball trees.

Data provided by

1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.

Data Attribute Information:

1. #3 (age)
2. #4 (sex)
3. #9 (cp)
4. #10 (trestbps)
5. #12 (chol)
6. #16 (fbs)
7. #19 (restecg)
8. #32 (thalach)
9. #38 (exang)
10. #40 (oldpeak)
11. #41 (slope)
12. #44 (ca)
13. #51 (thal)
14. #58 (num) (the predicted attribute)

9 cp: chest pain type -- Value 1: typical angina -- Value 2: atypical angina -- Value 3: non-anginal pain -- Value 4: asymptomatic

10 trestbps: resting blood pressure (in mm Hg on admission to the hospital)

12 chol: serum cholestoral in mg/dl

16 fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)

19 restecg: resting electrocardiographic results -- Value 0: normal -- Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) -- Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria

32 thalach: maximum heart rate achieved

38 exang: exercise induced angina (1 = yes; 0 = no)

40 oldpeak = ST depression induced by exercise relative to rest

41 slope: the slope of the peak exercise ST segment -- Value 1: upsloping -- Value 2: flat -- Value 3: downsloping 44 ca: number of major vessels (0-3) colored by flourosopy

51 thal: 3 = normal; 6 = fixed defect; 7 = reversable defect

58 num: diagnosis of heart disease (angiographic disease status) -- Value 0: < 50% diameter narrowing -- Value 1: > 50% diameter narrowing (in any major vessel: attributes 59 through 68 are vessels)

Performance(accuracy):

Currently only 77.17%