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/
EXAMPLES Server: 50_Applications/28_Predicting_Departure_Delays/01_Analytics50_Applications/28_Predicting_Departure_Delays/01_Analytics*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually