Used Cars in KSA with Price Prediction Target

1219 used car listings from an unspecified website in the Kingdom of Saudi Arabia, each with 9 features. The dataset was created for a machine learning project to predict a fair price for used cars based on their features. The modeling task is supervised regression targeting the 'car_price' label.

Use Cases

• Predict used car prices based on vehicle features mentioned in the description.
• Build a car recommendation system based on price and feature attributes.
• Analyze the relationship between car features and market value in the KSA region.
• Benchmark regression algorithms on a real-world automotive pricing problem.

Strengths

• Contains 1219 records, providing a substantive sample for modeling.
• Explicitly designed for supervised regression with a clear target variable ('car_price').
• Released under a permissive CC0-1.0 license for unrestricted use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the total number of features is limited to 9, which may constrain model complexity.
• Last update date is unknown; freshness unverified.

Provenance

Source

openml

Collection Method

Scraped from an unspecified used car website.

Geography

Kingdom of Saudi Arabia (KSA)