Outcome Prediction of DOTA2 Based on Naive Bayes Classifier

被引：0

作者：

Wang, Kaixiang ^{[1
]}

Shang, Wenqian ^{[1
]}

机构：

[1] Commun Univ China, Sch Comp Sci, Beijing, Peoples R China

来源：

2017 16TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2017) | 2017年

关键词：

Naive Bayes; Classification Algorithm; DOTA2;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Although DOTA2 is a popular game around the world, no clear algorithm or software are designed to forecast the winning probability by analyzing the lineups. However, the author finds that Naive Bayes classifier, one of the most common classification algorithm, can analyze the lineups and predict the outcome according to the lineups and gives an improved Naive Bayes classifier. Using the DOTA2 data set published in the UCI Machine Learning Repository, we test Naive Bayes classifier's prediction of respective winning probability of both sides in the game. The results show that Naive Bayes classifier is a practical tool to analyze the lineups and predict the outcome based on players' choices.

引用

页码：591 / 593

页数：3

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