Sample of Car Data with Vehicle Attributes for Machine Learning

A sample dataset of vehicle attributes sourced from OpenML. The description metadata is limited, with no details on acquisition method, time period, or specific features provided by the author. It is shared under an Open Database license for the database and its contents.

Use Cases

• Training classification models based on described vehicle attributes.
• Practicing feature engineering on automotive data.
• Benchmarking machine learning algorithms on a sample dataset.

Strengths

• Dataset is explicitly tagged as a 'Machine Learning Sample', indicating a purpose-built use case.
• License terms for the database and its contents are clearly stated.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and last update date are unknown, which may limit suitability assessment.

Provenance

Source

OpenML