2 years, 11 months ago

First semester project for Decision Systems 2021/2022 Course

This is the first project for students enrolled in the Decision System 2021/2022 course at the Faculty of Mathematics, Informatics, and Mechanics at the University of Warsaw.

Overview

The goal of this competition is to construct a scoring model for predicting winners in the Hearthstone video game (https://playhearthstone.com/). 

More detailed competition rules are given in Terms and Conditions.

The description of the data and evaluation metric is in the Task description section. 

Terms & Conditions
 
 
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The provided data describe game states from Hearthstone games played by simple bots. Each row in the data files describes a single game state by a number of features. The first column contains the decision, i.e. information if player 1 won the game. The following three columns indicate the turn from which the game state was obtained and two bot IDs. The remaining 268 columns contain characteristics describing the situation on the game board. Names of those columns were anonymized to prevent the use of expert knowledge about the game.

The data tables are provided as two CSV files with the ',' (coma) separator sign. They can be downloaded after the registration to the competition. Both files (training and test sets) have exactly the same format but all the values from the decision column in the test set are missing.

The evaluation metric will be AUC. During the competition, your solutions will be evaluated on a small fraction of the test set (5%), and your best preliminary AUC score will be displayed on the public Leaderboard. 

The submission format: the solutions need to be submitted as text files with predictions. The file should have exactly the same number of rows as the test data table. In each row, it should contain exactly one real number expressing the likeliness that the correct decision value for the corresponding test set instance is 1.

Rank Team Name Is Report   Preliminary Score Final Score Submissions
1
mgrot alek
True True 0.7911 0.796500 54
2
CzarekGolecki
True True 0.7895 0.791300 55
3
harMLess
True True 0.7941 0.790800 42
4
Czarne wrony
True True 0.7914 0.789500 7
5
baseline
True True 0.7850 0.787900 2
6
WszystkoJestLiniowe
True True 0.7856 0.787700 11
7
Sylvanas Windrunner
True True 0.7888 0.786800 16
8
LK
True True 0.7841 0.782600 4
9
żuk_w_pudełku
True True 0.7896 0.781100 11
10
Lagrange
True True 0.7742 0.779100 1
11
dsproj
True True 0.7622 0.769100 3
12
Grzegorz i Olaf
True True 0.7259 0.713500 11
13
SG
False True 0.7912 No report file found or report rejected. 8
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