The employment of support vector machine to classify high and low performance archers based on bio-physiological variables

• Main Authors: Taha, Z., Musa, R.M., Majeed, A.P.P.A, Abdullah, M.R., Abdullah, M.A., Hassan, M.H.A., Khalil, Z.
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2018
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://eprints.unisza.edu.my/1701/1/FH03-FSSG-18-13758.jpg; http://eprints.unisza.edu.my/1701/2/FH03-FSSG-19-23955.pdf; http://eprints.unisza.edu.my/1701/
• Institution: Universiti Sultan Zainal Abidin

The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of biophysiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 +/-.056) gathered f...