> ## Documentation Index
> Fetch the complete documentation index at: https://heart.metesahankurt.cloud/llms.txt
> Use this file to discover all available pages before exploring further.

# Dataset

> UCI Heart Disease dataset — 1,025 patients, 13 clinical features, binary target.

# Dataset

## Overview

| Property | Value                                              |
| -------- | -------------------------------------------------- |
| Source   | Kaggle – Heart Disease UCI                         |
| Samples  | 1,025 patients                                     |
| Features | 13 clinical attributes                             |
| Target   | Binary — `1` = heart disease present, `0` = absent |

The dataset has a balanced class distribution (\~51% / 49%), which means accuracy is a meaningful metric here and avoids the pitfalls of imbalanced classification.

## Features

| Feature    | Description                                                            |
| ---------- | ---------------------------------------------------------------------- |
| `age`      | Age in years                                                           |
| `sex`      | Sex (1 = male, 0 = female)                                             |
| `cp`       | Chest pain type (0–3)                                                  |
| `trestbps` | Resting blood pressure (mm Hg)                                         |
| `chol`     | Serum cholesterol (mg/dl)                                              |
| `fbs`      | Fasting blood sugar > 120 mg/dl (1 = true)                             |
| `restecg`  | Resting ECG results (0–2)                                              |
| `thalach`  | Maximum heart rate achieved                                            |
| `exang`    | Exercise-induced angina (1 = yes)                                      |
| `oldpeak`  | ST depression induced by exercise relative to rest                     |
| `slope`    | Slope of the peak exercise ST segment                                  |
| `ca`       | Number of major vessels colored by fluoroscopy (0–3)                   |
| `thal`     | Thalassemia type (0 = normal, 1 = fixed defect, 2 = reversible defect) |

## Reference

Detrano, R., Janosi, A., Steinbrunn, W., Pfisterer, M., Schmid, J., Sandhu, S., Guppy, K., Lee, S., & Froelicher, V. (1989). International application of a new probability algorithm for the diagnosis of coronary artery disease. *American Journal of Cardiology, 64*(5), 304–310.