Predicting Victories in Video Games - IEEE BigData 2021 Cup Report

Dec 1, 2021·
Maciej Matraszek
Maciej Matraszek
,
Andrzej Janusz
,
Maciej Świechowski
,
Dominik Ślęzak
· 0 min read
Abstract
We summarize the results of IEEE BigData 2021 Cup: Predicting Victories in Video Games - a data mining challenge organized at the KnowledgePit platform in association with the IEEE BigData 2021 conference. We describe the competition task, as well as the data acquisition and preprocessing steps. We also provide a brief overview of the top-performing solutions submitted by participants. Finally, we present results of the post-competition data analysis, in which we consider the similarity of solutions submitted by various teams in terms of their errors on the test data. We conclude this analysis by demonstrating a method for constructing an ensemble of submitted solutions. Such an ensemble performs better than any of the individual solutions submitted during the competition.
Type
Publication
2021 IEEE International Conference on Big Data
publications
Maciej Matraszek
Authors
PhD Candidate
Currently, my research is focused on low-power wireless sensor networks with various aspects: once I was conducting sociometric studies with wearable IoT devices, another time I am trying to model the inner working of a microcontroller.