Impact on Performance in Football Game by Players Position using Machine Learning Techniques

Autor: Swathi Gadipudi, Vyshnavi Kesari, Sai Bharath Chitluri, Venkata Naga Satya Swaroop Akkinapalli, Dr. Ram Prasad Reddy Sadi
Rok vydání: 2023
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 11:1090-1095
ISSN: 2321-9653
DOI: 10.22214/ijraset.2023.50228
Popis: For many people who have aspired to be successful in their occupations, sports has emerged as a fantastic new field. One of the sports that has gained popularity is football. Better results are obtained when we are aware of and focus on our strengths. The same is true for a player who is conscious of his skills and makes a concerted effort to develop them. A coach must find a player who suits a given position, but doing so might be difficult for a variety of reasons. In the current study, the binary relevance and random forest have been used to find a solution to the problem of determining a football player's optimal position. Test results show that the strategy is effective.
Databáze: OpenAIRE