AAIA Data Mining Competition 2019
Clash Royale Challenge: How to Select Training Decks for Win-rate
Prediction is the sixth data mining competition organized in association with the Federated Conference on Computer Science and Information Systems. This year, the task is related to the problem of selecting an optimal training data subset for learning how to predict win-rates of the most popular Clash Royale decks. In particular, we would like to find out whether it is possible to train an efficient win-rate prediction model on a relatively small subset of decks, whose win-rates were estimated in the past. Such a task can also be considered in the context of active learning, as a selection of a data batch that should be labeled and used for training a win-rate prediction model.
Authors of the top-ranked solutions (based on the final evaluation will be awarded prizes funded by our sponsors:
* First Prize: 1000 USD + one free FedCSIS'19 conference registration,
* Second Prize: 500 USD + one free FedCSIS'19 conference registration,
* Third Prize: one free FedCSIS'19 conference registration. The award ceremony will take place during the FedCSIS'19 conference (Sep 1-4, 2019, Leipzig, Germany).
More details regarding the challenge can be found on our web site - Knowledge Pit Platform.