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The_​Overall_​Challenge

The Overall Challenge

Tasks for Groups 1, 2, and 3 in KNIME Data Science Learnathon
- Read and prepare data
- Train one or more models and try to get the best classification performance
- Prepare a deployment workflow

Prediction of Departure DelaysStarting Point of the Challenge ChallengesGroup 1. Read and prepare the data. Group 2. Data already read and cleaned up. Train one or more model and try to get the best classification performance. Group 3. Model already trained. Prepare a deployment workflow. The ProblemPredict Departure Delays at Chicago O'Hare International Airport (ORD). Datasets: 1. AirlineDataset.table 2. GHCN-Daily_source.xls containing daily weather information like precipitation, snowfall, snow depth, temperature, wind speed and wind direction measured at ChicagoO'Hare International Airport. (The explanation of the columns is available in data/GHCN_daily_readme.txt) - Training set: From January 1, 2017 to January 15, 2007 - Test set: From January 16, 2017 to January 31, 2007 - Binary prediction: IF departure delay > 15min => “delay” ELSE “no delay” Prediction of Departure DelaysStarting Point of the Challenge Challenges Group 1. Read and prepare the data. Group 2. Data already read and cleaned up. Train one or more model and try to get the best classification performance. Group 3. Model already trained. Prepare a deployment workflow. The ProblemPredict Departure Delays at Chicago O'Hare International Airport (ORD). Datasets: 1. AirlineDataset.table 2. GHCN-Daily_source.xls containing daily weather information like precipitation, snowfall, snow depth, temperature, wind speed and wind direction measured at ChicagoO'Hare International Airport. (The explanation of the columns is available in data/GHCN_daily_readme.txt) - Training set: From January 1, 2017 to January 15, 2007 - Test set: From January 16, 2017 to January 31, 2007 - Binary prediction: IF departure delay > 15min => “delay” ELSE “no delay”

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