The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach

• Main Authors: Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Aizzat, Zakaria, Muhammad Muaz, Alim, Jessnor Arif, Mat Jizat, Mohamad Fauzi, Ibrahim
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2018
• Subjects: TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/21837/1/The%20identification%20of%20high%20potential%20archers%20based%20on%20relative%20psychological%20coping%20skills%20variables.pdf; http://umpir.ump.edu.my/id/eprint/21837/
• Institution: Universiti Malaysia Pahang

Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. However, the use of SVM for prediction and classification in sport is at its inception. The present study classified and predicted high and low potential archers from a collection of...