Airline Flight Performance Data

A dataset of airline flight records, likely containing operational metrics such as departure and arrival times, delays, and carrier information. The dataset is sourced from the OpenML platform, a repository for machine learning data. Specific details on the number of records, temporal coverage, and original author are not provided.

Use Cases

• Predict flight_arrival_delay using features like scheduled_departure_time, airline_code, and origin_airport.
• Analyze patterns in flight_cancellation_reason across different airlines and weather_condition codes.
• Cluster airlines based on operational metrics such as average_departure_delay and on_time_performance.
• Forecast airport congestion by modeling the count_of_departures per hour from major origin_airports.

Strengths

• Sourced from OpenML, a curated repository for machine learning datasets.
• Commonly used as a benchmark for classification and regression tasks in ML.

Limitations

• Unknown row count prevents assessment of statistical power.
• Lack of column details and temporal coverage limits reproducibility and trend analysis.

Provenance

Source

OpenML platform