A hybrid feature selection algorithm using simplified swarm optimization for body fat prediction

•An improved, simplified swarm optimization was proposed for body fat prediction.•A biased random initialization scheme was introduced to create population diversity at the solution level.•A feature pruning scheme based on the significant effect was proposed to enhance the exploitation of SSO.•Extensive experiments on nine anthropometric datasets were conducted.