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Analytics - Model Selection to Predict Flight Departure Delays

Data science Machine learning Model selection Data preparation ETL
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This workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from a selected airport. Data is the airline dataset downloadable from: http://stat-computing.org/dataexpo/2009/the-data.html. Departure delay is a delay > 15min. Default selected airport is ORD. This workflow implements data reading, ETL, outlier detection, dimensionality reduction, feature generation, feature selection, advanced data mining models, model selection and comparison. Data available in knime://knime.workflow/data/

External resources

  • KNIME Analytics: a Review
  • Advanced ETL Functionalities and Machine Learning Pre-Processing

Used extensions & nodes

Created with KNIME Analytics Platform version 3.4.0
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    KNIME Core Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Data Generation Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Deeplearning4J Integration (64bit only) Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME JavaScript Views Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME JPMML Integration Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Nodes for Wide Data (many columns) Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Python Integration (Labs, supports Python 2 & 3) Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.4.0

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    KNIME Quick Forms Trusted extension

    KNIME.com, Zurich, Switzerland

    Version 3.4.0

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