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

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...

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Bibliographic Details

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:	en en
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/
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