Experimental comparison of parametric, non-parametric, and hybrid multigroup classification

► The proposed hybrid method dominates almost all the other methods on classification performance. ► Logistic regression and neural network provides worst relative performance under most scenarios. ► This shows that the data complexities have adverse impact on the multinomial logistic regression. ► The results indicate that all classification methods are adversely affected by the nonstatic data. ► This study demonstrates the effectiveness of the hybrid method in improving classification accuracy.