Vol. 5 No. 2 (2026), Articles
Vol. 5 No. 2 (2026)

O'QUVCHILARNING O'ZLASHTIRISH DARAJASINI BASHORATLASHDA RANDOM FOREST ALGORITMIDAN FOYDALANISH

Articles
Published 2026-06-20
Yunusxo'jayev Lutfullo Zafarxo'ja o'g'li
Magistratura talabasi
Jalolov Tursunbek Sadriddinovich
p.f.f.d. (PhD), dotsent Osiyo xalqaro universiteti
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Keywords

Random Forest, mashinaviy o'qitish, o'quvchi o'zlashtirishi, ta'lim tahlili, bashorat modeli, Educational Data Mining.

Abstract

Ushbu maqolada o'quvchilarning akademik o'zlashtirish darajasini oldindan bashoratlashda Random Forest mashinaviy o'qitish algoritmidan foydalanish imkoniyatlari o'rganilgan. Tadqiqotda o'quvchilarning davomati, oldingi baholar, uy vazifalarini bajarish ko'rsatkichlari va ijtimoiy omillar asosida yaratilgan ma'lumotlar to'plami ishlatilgan. Tajriba natijalari shuni ko'rsatadiki, Random Forest algoritmi 89.3% aniqlik ko'rsatkichiga erishib, an'anaviy statistik usullarga nisbatan sezilarli ustunlik namoyish etadi. Olingan natijalar ta'lim muassasalari uchun erta ogohlantirish tizimini yaratishda muhim ahamiyat kasb etadi.

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