Evaluation of Accidental Death Records Using Hybrid Genetic Algorithm

Abstract

Hybrid Genetic algorithms are becoming reasonably important by its ever-increasing demand to solve real world problems. Genetic algorithm when incorporated with other techniques is capable of finding best optimized results. In this paper, we present combined approach of support vector machine regression and linear regression for producing different optimized results. Data set for accidental death records due to natural calamities has been taken from Government of India, which is further divided into various sub categories. Error rate has been calculated using mean square error which is evaluated over Python platform. Combined data for male as well as female candidates has been reviewed by using age as one of the distinguishing parameters.