The application of k-Nearest Neighbour in the identification of high potential archers based on relative psychological coping skills variables

International Conference on Innovative Technology, Engineering and Sciences 2018

工业技术;自然科学

Taha, Zahari^1 ; Musa, Rabiu Muazu^1,2 ; Abdul Majeed, Anwar P. P.^1 ; Abdullah, Mohamad Razali^2 ; Alim, Muhammad Muaz^1 ; Nasir, Ahmad Fakhri Ab^1

Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, Pekan, Pahang

26600, Malaysia^1

Faculty of Applied Social Sciences, Universiti Sultan Zainal Abidin, Terengganu Kuala Terengganu

21300, Malaysia^2

关键词: Accuracy and precision;    Development programmes;    K nearest neighbours (k-NN);    K-means cluster analysis;    K-nearest neighbours;    Kernel function;    Psychological variables;    Standard deviation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/342/1/012019/pdf
DOI  :  10.1088/1757-899X/342/1/012019

来源: IOP

【 摘 要 】

The present study aims at classifying and predicting high and low potential archers from a collection of psychological coping skills variables trained on different k-Nearest Neighbour (k-NN) kernels. 50 youth archers with the average age and standard deviation of (17.0 .056) gathered from various archery programmes completed a one end shooting score test. Psychological coping skills inventory which evaluates the archers level of related coping skills were filled out by the archers prior to their shooting tests. k-means cluster analysis was applied to cluster the archers based on their scores on variables assessed k-NN models, i.e. fine, medium, coarse, cosine, cubic and weighted kernel functions, were trained on the psychological variables. The k-means clustered the archers into high psychologically prepared archers (HPPA) and low psychologically prepared archers (LPPA), respectively. It was demonstrated that the cosine k-NN model exhibited good accuracy and precision throughout the exercise with an accuracy of 94% and considerably fewer error rate for the prediction of the HPPA and the LPPA as compared to the rest of the models. The findings of this investigation can be valuable to coaches and sports managers to recognise high potential athletes from the selected psychological coping skills variables examined which would consequently save time and energy during talent identification and development programme.