COMPARATIVE STUDY FOR PREDICTION OF DYSCALCULIA USING SMO AND NAÏVE BAYES CLASSIFIER

Ms. Sampada Margaj; Dr. Seema Purohit

Volume : V, Issue : VIII, August - 2016

COMPARATIVE STUDY FOR PREDICTION OF DYSCALCULIA USING SMO AND NAÏVE BAYES CLASSIFIER

Ms. Sampada Margaj, Dr. Seema Purohit

Abstract :

Aim of this work is to study the two classification methods, Sequential Minimal Optimization (SMO) and Na�ve Bayes, for the prediction of Dyscalculia in school–age children. Prediction of any of the categories of learning disability is not an easy task. Same is the case of dyscalculia. Detail knowledge of the subject is mandatory in accurate prediction of dyscalculia in any child. A sooner the detection faster we can overcome it which will help the child for ight future. The above mentioned classifiers gives us satisfactory results. This study will also reflect on determining the best classification method for our specific domain.