README.md

metadata

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.

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Dataset Summary

• Rows: 10,000
• Features: 6
• Target: price
• Task: Regression
• License: MIT

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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)

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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

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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.