Add heart disease dataset

[acharles7]

Add Dataset

• Dataset Name: Heart Disease Dataset
• Issue Reference: [data request] Heart Disease Data Set #1799
• dataset_info.json Gist: Link

Description

This data set contains 13 attributes and labels of heart disease from 303 participants from Cleveland since Cleveland data was most commonly used in modern research.

Attribute by column index

1. age : age in years
2. sex : sex (1 = male; 0 = female)
3. cp : chest pain type
   (1 = typical angina; 2 = atypical angina; 3 = non-anginal pain; 4 = asymptomatic)
4. trestbps : resting blood pressure (in mm Hg on admission to the hospital)
5. chol : serum cholestoral in mg/dl
6. fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
7. restecg : resting electrocardiographic results
8. thalach : maximum heart rate achieved
9. exang : exercise induced angina (1 = yes; 0 = no)
10. oldpeak : ST depression induced by exercise relative to rest
11. slope : the slope of the peak exercise ST segment (1 = upsloping; 2 = flat; 3 = downsloping)
12. ca : number of major vessels (0-3) colored by flourosopy
13. thal : 3 = normal; 6 = fixed defect; 7 = reversable defect
14. num (the predicted attribute): diagnosis of heart disease (angiographic disease status)
    (0 = < 50% diameter narrowing, no presence of heart disease;
    1 = > 50% diameter narrowing, with increasing severity)

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

Checklist

• Address all TODO's
• Add alphabetized import to subdirectory's __init__.py
• Run download_and_prepare successfully
• Add checksums file
• Properly cite in BibTeX format
• Add passing test(s)
• Add test data
• Lint code

[acharles7]

@ChanchalKumarMaji Please have a look at this PR when you get a chance. Thankx

[Conchylicultor]

Thank you for your contribution. Just a small remark

[Conchylicultor]

Thank you! I'll try to merge this today.

[acharles7]

@Conchylicultor I have resolved all the comments. Please have look at it.

[acharles7]

@Conchylicultor Can you please take a look at this PR.