A supervised learning model to identify the star potential of a basketball player. Issue 5 (28th July 2021)

• Record Type: Journal Article
• Authors: Srinivasan, Ram; Balasubramanian, Venki; Vidyasagar, Abhishek
• Other Names: Sharma Rohit guestEditor.; Gupta Deepak guestEditor.; Maseleno Andino guestEditor.; Peng Sheng‐Lung guestEditor.; Menon Varun G. guestEditor.; Khosravi Reza guestEditor.; Jolfaei Alireza guestEditor.; Kumar Akshi guestEditor.; P Vinod guestEditor.
• Is Part Of: Expert systems. Volume 39:Issue 5(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-07-28
• Subjects: analytics -- and user interface -- data science -- machine learning algorithms -- predictive model; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12772
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: Basketball is a mathematical game with many abstract data interpretations. An average fan ceases to witness the revolution in sports, which is influenced using data science and analytics unless someone brings it to light. Nowadays, teams look at data and tend to make decisions on scouting the player for the team. The decision making for the coaches can be made easier using machine learning algorithms to identify the star potential of players. The paper provides a novel algorithm by building a machine learning model on all players to predict whether the player is a star or not. Besides, an interactive user interface is developed for coaches to input the player's data and to make an informed decision based on the prediction.