---
language:
- en
license: mit
task_categories:
- tabular-regression
pretty_name: Synthetic Housing Price Dataset
size_categories:
- 10K<n<100K
tags:
- regression
- tabular
- synthetic
- machine-learning
- housing
- education
---

# 🏠 Synthetic Housing Price Dataset

A synthetic tabular dataset designed for **machine learning regression** tasks.

The dataset contains **10,000** randomly generated houses with prices computed using a deterministic rule-based pricing model. It is intended for experimentation, benchmarking, and educational purposes.

> **Note:** This dataset is entirely synthetic and does not represent real-world housing market data.

---

# Dataset Summary

- **Rows:** 10,000
- **Features:** 6
- **Target:** `price`
- **Task:** Regression
- **License:** MIT

---

# Dataset Structure

| Feature | Type | Description |
|----------|------|-------------|
| `rooms` | Integer | Number of rooms |
| `area` | Integer | House area in square feet |
| `road_rating` | Float | Road quality rating (0.0–1.0) |
| `water_electricity` | Float | Water & electricity availability rating (0.0–1.0) |
| `police` | Integer | Nearby police station (0 = No, 1 = Yes) |
| `education` | Integer | Nearby educational institution (0 = No, 1 = Yes) |
| `price` | Integer | House price in USD (target variable) |

---

# Data Generation

The dataset was generated using **NumPy**.

Generation process:

- Random integer generation for `rooms` and `area`
- Uniform random values between **0** and **1** for infrastructure ratings
- Binary indicators for nearby police and educational facilities
- House prices computed from a rule-based pricing function using:
  - Base price per square foot
  - Infrastructure quality
  - Available amenities
  - Total house area

Because the underlying generation process is known, this dataset is useful for validating regression algorithms and benchmarking implementations.

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# Example

| rooms | area | road_rating | water_electricity | police | education | price |
|------:|-----:|------------:|------------------:|--------:|----------:|------:|
| 3 | 516 | 0.635397 | 0.113835 | 1 | 0 | 114036 |
| 3 | 516 | 0.708022 | 0.708022 | 0 | 0 | 114552 |
| 3 | 516 | 0.486341 | 0.087613 | 1 | 1 | 122292 |

---

# Intended Use

This dataset is suitable for:

- Regression
- Machine Learning education
- Model benchmarking
- Feature engineering
- Data visualization
- Testing custom ML libraries
- Algorithm comparison

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# Limitations

- Synthetic data only
- Not representative of any real housing market
- Should not be used for real-world property valuation or economic analysis

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# Citation

If you use this dataset in a project, please cite or reference this repository.

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## Author

Created by **ItzRustam**.