This paper describes our solution for the AAIA'18 Data Mining Challenge: Predicting Win-rates of Hearthstone Decks.
Abstract—This paper describes our solution for the AAIA'18. Data Mining Challenge: Predicting Win-rates of Hearthstone. Decks. Train and test decks were ...
PDF | On Sep 26, 2018, Anna Sztyber and others published Predicting winrate of Hearthstone decks using their archetypes | Find, read and cite all the ...
Predicting winrate of Hearthstone decks using their archetypes. Open Webpage · Anna Sztyber, Jan Betley, Adam Witkowski. Published: 31 Dec 2017, Last Modified ...
This paper describes the solution for the AAIA'18 Data Mining Challenge: Predicting Win-rates of Hearthstone Decks, and uses XGBoost to build a model ...
Apr 11, 2023 · This data is pretty expected — aggro decks always overperform on release, as they farm all the unrefined and experimental decks.
In this post, we explore how a Hearthstone player can predict which cards their opponent may play in future turns using machine learning.
Missing: winrate | Show results with:winrate
Nov 27, 2020 · I've played numerous decks that claim to be 55%+ winrate at all levels of playing and they all claim to be meta. In fact, from my personal ...
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their heroes with a unique power and construct a deck of thirty cards that represent various spells, weapons, and minions, and can be summoned in order to ...
Sep 17, 2020 · In this paper we introduce the problem of predicting a player's deck archetype from minimal information, in particular only from the actions they performed on ...
Missing: winrate | Show results with:winrate