dataset_info.json

{
  "citation": "@misc{Dua:2019 ,\nauthor = \"Janosi, Steinbrunn and Pfisterer, Detrano\",\nyear = \"1988\",\ntitle = \"{UCI} Machine Learning Repository\",\nurl = \"http://archive.ics.uci.edu/ml/datasets/Heart+Disease\",\ninstitution = \"University of California, Irvine, School of Information and Computer Sciences\"\n}",
  "description": "This data set contain 13 attributes and labels of heart disease from 303 participants from Cleveland since Cleveland data was most commonlyused in modern research.\n\nAttribute by column index\n1. age      : age in years\n2. sex      : sex (1 = male; 0 = female)\n3. cp       : chest pain type\n    (1 = typical angina; 2 = atypical angina; 3 = non-anginal pain; 4 = asymptomatic)\n4. trestbps : resting blood pressure (in mm Hg on admission to the hospital)\n5. chol     : serum cholestoral in mg/dl\n6. fbs      : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)\n7. restecg  : resting electrocardiographic results\n8. thalach  : maximum heart rate achieved\n9. exang    : exercise induced angina (1 = yes; 0 = no)\n10. oldpeak : ST depression induced by exercise relative to rest\n11. slope   : the slope of the peak exercise ST segment (1 = upsloping; 2 = flat; 3 = downsloping)\n12. ca      : number of major vessels (0-3) colored by flourosopy\n13. thal    : 3 = normal; 6 = fixed defect; 7 = reversable defect\n14. num (the predicted attribute): diagnosis of heart disease (angiographic disease status)\n    (0 = < 50% diameter narrowing, no presence of heart disease;\n     1 = > 50% diameter narrowing, with increasing severity)\nDataset Homepage: http://archive.ics.uci.edu/ml/datasets/Heart+Disease",
  "downloadSize": "18461",
  "location": {
    "urls": [
      "http://archive.ics.uci.edu/ml/datasets/Heart+Disease"
    ]
  },
  "name": "heart_disease",
  "splits": [
    {
      "name": "train",
      "numBytes": "26136",
      "shardLengths": [
        "297"
      ]
    }
  ],
  "supervisedKeys": {
    "input": "features",
    "output": "label"
  },
  "version": "0.0.1"
}