We present a method of selecting quasars up to redshift ?6 with random forests, supervised machine-learning method, applied Pan-STARRS1 and WISE data. find that, thanks the increasing set known quasars, we can assemble training that enables algorithms become competitive alternative other methods this redshift. candidate for range 4.8–6.3, which includes region around z = 5.5 where is difficult ...