ML-RUS also uses the IRLbl metric to find minority labels and protect their samples from being removed. It randomly selects instances for deletion. Like ML-ROS, ML-RUS updates the IRLbl of affected labels after each deletion, except for those that have reached the MeanIR threshold. for each minSet i in minSet do 12: