A Novel Hybrid SDR Model for Dengue Prediction using Opt_Recurr Feature Selection Algorithm

Abstract

Dengue is a vector borne disease , which can be fatal at times . Early detection dengue of dengue is vital as no  vaccines have been developed for dengue yet..The process of eliminating irrelevant and  redundant  features from the data set  facilitates the optimal features selection . This study is proposed to select the Optimal features by using Opt_Recur algorithm  from the Dengue  dataset  , a hybrid SDR model which makes prediction with better accuracy when compared to the conventional classifiers  like the  Support Vector Machine (SVM), Decision Tree(DT) and the Random Forest (RF) classifiers.