Abstract The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to get the optimal solution. For problems, selecting most relevant features of a dataset leads better accuracy with low training time. In this work, hybrid binary crow search algorithm (BCSA) based quasi-oppositional (QO) method is proposed FS on wrappe...