My approach to this competition was to first analyze the data in Excel pivottables.
Field names starting with ‘Any’ are true if any person attached to the grant has that feature (e.g.
‘APapers’ is number of A papers from person 1), and one for the maximum of all people in the application (e.g.
Once I had created these features, I used a generalization of the random forest algorithm to build a model.
Other than the Excel pivottables at the start, all the pre-processing and modelling was done in C#, using libraries I developed during this competition.

Comments to: Jeremy Howard on winning the Predict Grant Applications Competition

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