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@article{ART002439410},
author={Yeong-Jin Seo and Hyung-Woo Moon and Yong-Tae Woo},
title={A Win/Lose prediction model of Korean professional baseball using machine learning technique},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={2},
pages={17-24},
doi={10.9708/jksci.2019.24.02.017}

TY - JOUR
AU - Yeong-Jin Seo
AU - Hyung-Woo Moon
AU - Yong-Tae Woo
TI - A Win/Lose prediction model of Korean professional baseball using machine learning technique
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 2
PB - The Korean Society Of Computer And Information
SP - 17
EP - 24
SN - 1598-849X
AB - In this paper, we propose a new model for predicting effective Win/Loss in professional baseball game in Korea using machine learning technique. we used basic baseball data and Sabermetrics data, which are highly correlated with score to predict and we used the deep learning technique to learn based on supervised learning. The Drop-Out algorithm and the ReLu activation function In the trained neural network, the expected odds was calculated using the predictions of the team's expected scores and expected loss. The team with the higher expected rate of victory was predicted as the winning team. In order to verify the effectiveness of the proposed model, we compared the actual percentage of win, pythagorean expectation, and win percentage of the proposed model.
KW - Win/Lose Prediction Model;Baseball Strategy;Machine Learning;Deep Learning;Baseball Data Analysis
DO - 10.9708/jksci.2019.24.02.017
ER -

Yeong-Jin Seo, Hyung-Woo Moon and Yong-Tae Woo. (2019). A Win/Lose prediction model of Korean professional baseball using machine learning technique. Journal of The Korea Society of Computer and Information, 24(2), 17-24.

Yeong-Jin Seo, Hyung-Woo Moon and Yong-Tae Woo. 2019, "A Win/Lose prediction model of Korean professional baseball using machine learning technique", Journal of The Korea Society of Computer and Information, vol.24, no.2 pp.17-24. Available from: doi:10.9708/jksci.2019.24.02.017

Yeong-Jin Seo, Hyung-Woo Moon, Yong-Tae Woo "A Win/Lose prediction model of Korean professional baseball using machine learning technique" Journal of The Korea Society of Computer and Information 24.2 pp.17-24 (2019) : 17.

Yeong-Jin Seo, Hyung-Woo Moon, Yong-Tae Woo. A Win/Lose prediction model of Korean professional baseball using machine learning technique. 2019; 24(2), 17-24. Available from: doi:10.9708/jksci.2019.24.02.017

Yeong-Jin Seo, Hyung-Woo Moon and Yong-Tae Woo. "A Win/Lose prediction model of Korean professional baseball using machine learning technique" Journal of The Korea Society of Computer and Information 24, no.2 (2019) : 17-24.doi: 10.9708/jksci.2019.24.02.017

Yeong-Jin Seo; Hyung-Woo Moon; Yong-Tae Woo. A Win/Lose prediction model of Korean professional baseball using machine learning technique. Journal of The Korea Society of Computer and Information, 24(2), 17-24. doi: 10.9708/jksci.2019.24.02.017

Yeong-Jin Seo; Hyung-Woo Moon; Yong-Tae Woo. A Win/Lose prediction model of Korean professional baseball using machine learning technique. Journal of The Korea Society of Computer and Information. 2019; 24(2) 17-24. doi: 10.9708/jksci.2019.24.02.017

Yeong-Jin Seo, Hyung-Woo Moon, Yong-Tae Woo. A Win/Lose prediction model of Korean professional baseball using machine learning technique. 2019; 24(2), 17-24. Available from: doi:10.9708/jksci.2019.24.02.017

Yeong-Jin Seo, Hyung-Woo Moon and Yong-Tae Woo. "A Win/Lose prediction model of Korean professional baseball using machine learning technique" Journal of The Korea Society of Computer and Information 24, no.2 (2019) : 17-24.doi: 10.9708/jksci.2019.24.02.017