The challenge is to blend together models from different analytics platforms - i.e. Python , R, and KNIME - to create an ensemble model. Data is the “airline data set” (http://stat-computing.org/dataexpo/2009/the-data.html) enriched with additional external data , such as cities, daily weather (https://www.ncdc.noaa.gov/cdo-web/datasets/), US holidays, geo-coordinates, airplane maintenance. DepDealys is used as the target variable. R SVM, Python Logisitc Regression, and KNIME Decision Tree. Will they blend in a single ensemble model? ... and yes! They blend.
This is a companion discussion topic for the original entry at https://kni.me/w/5FQt5RF8hHNwYjJd