A. A. HASSEIM ET AL. 87
changing C and g to simulate and to classify children
with and without handwriting problem based on drawing
tasks.
4. Conclusions
SVM RBF and polynomial have been used in this study
to select those who are at risk of handwriting difficulty
due to the improper use of graphic rules. Cross-validation
method is adopted to choose parameter in order to gain
preferable classificatory result. In this paper, we have
testified that the performance of SVM with RBF kernel is
better than the one with polynomial kernel. Experiment
simulative results indicate: average accuracy of classifi-
catory testing based on SVM RBF algorithm reaches
more than 93%. The data is apparently high compared
with SVM polynomial algorithm.
5. Acknowledgements
This work was supported by the Malaysia Ministry of
Higher Education and Universiti Teknologi Malaysia
under Vote Q.J130000.2623.09J28.
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