At the population level , the King-Lu method had the highest average cause-specific mortality fraction accuracy across all five datasets ( 91 % ) , followed by InterVA-4 ( 72 % across three datasets ) , open-source random forest ( 71 % ) and open-source tariff method ( 54 % ) .