More than 100 Teams were competing, more than 25 sent in a solution, the best reaching a Macro-F1 scorse higher 0.88.
Last Friday, after six long weeks, the time had finally come. During ECML-PKDD conference at Riva del Garda the best of the competing approaches have been described and discussed. The participants had the possibility to get answers directly from the organizers and last but not least Iryna Haponchyk – leader of the winning team – was awarded 1000 Euro for the solution with the highest macro-F1 score, or better for having created a model capable of producing such a score. Here you can see the beaming winner during the discovery callenge prize ceremony.
Iryna explained her team trained a standard multi-class linear SVM classifier, having preliminarily enriched the presented attribute set with features generated using a random forest and features encoding the notion of interdependency between the examples that go close to each other in time.