Predicting the future performance of soccer players

DOI10.1002/SAM.11321OpenAlexW2517171134MaRDI QIDQ4970215

Cornelius Arndt, Ulf Brefeld

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11321

zbMATH Keywords

ridge regressionmachine learningfeature selectionsupport vector regressionpredictive analyticsmultitask regression

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues

Uses Software

• Vowpal Wabbit

Cites Work

• Gene selection for cancer classification using support vector machines

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