Using neural networks to predict binary outcomes

被引：0

作者：

Ong, E ^{[1
]}

Flitman, A ^{[1
]}

机构：

[1] Monash Univ, Fac Comp & Informat Technol, Dept Business Syst, Clayton, Vic 3168, Australia

来源：

1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2 | 1997年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Predicting binary outcomes with respect to sports, typically involves the use of human judgement and subjectivity. This research considers the use of neural networks and logistic regression as an interesting and quantifiable alternative to human tipsters, whose predictions are of a qualitative nature. Using a set of naive but objective, input variables, we highlight the improvement in prediction accuracy obtained through the use of neural networks and logistic regression. A comparison between neural networks, logistic regression and human tipping experts is presented.

引用

页码：427 / 431

页数：5

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