The　results　and　interpretations　of　the　KNN　regression　model　in　this　paper　provide　researchers　with　a　powerful　tool　to　evaluate　the　relevant　relationships　such　as　the　size　and　weight　of　abalones,　offering　valuable　references　for　determining　the　shell　weight　of　abalones.　Through　these　analyses,　we　can　gain　a　better　understanding　of　the　overall　characteristics　of　this　biological　sample　and　provide　valuable　references　for　subsequent　research.　Finally,　our　analysis　highlights　the　practicality　and　effectiveness　of　the　KNN　regression　model　in　processing　regression　datasets.　This　model　not　only　can　be　used　for　classification,　but　also　for　feature　extraction　and　regression　prediction,　playing　an　important　role　in　the　breeding　and　management　of　abalones.