Just as in the Sequential Floating Forward Selection (SFFS) algorithm, we have a conditional step: Here, we start with the whole feature subset and exclude features sequentially. Only if adding one of the previously excluded features back to a new feature subset improves the performance (assessed by the criterion function), we add it back in the Conditional Inclusion step. … Sequential Floating Backward Selection (SFBS)