XGBOOST MASHINALI OʻQITISH ALGORITMI ASOSIDA YUQORI IQTISODIY O‘SISH EHTIMOLLIGINI MODELLASHTIRISH
DOI:
https://doi.org/10.65164/91q80565Keywords:
Iqtisodiy o'sish, Ekstremal gradientni kuchaytirish, Yalpi mintaqaviy mahsulot, Ehtimollik.Abstract
Mazkur tadqiqotda Surxondaryo viloyati hududlarida yuqori iqtisodiy o‘sish
ehtimolini baholash masalasi ko‘rib chiqilgan. Tadqiqotda mashinali o‘qitish usullaridan biri bo‘lgan
Extreme Gradient Boosting (XGBoost) algoritmi qo‘llanilgan. Model 2010–2025 yillar oralig‘idagi
panel ma’lumotlarga asoslanadi va hududiy yalpi mahsulot (YaHM) o‘sish sur’ati 10% dan yuqori
bo‘lish ehtimolini baholaydi. Natijalar modelning yuqori aniqlikka ega ekanligini ko‘rsatdi. Tadqiqot
investitsiyalar, sanoat ishlab chiqarishi va xizmatlar sohasi asosiy omillar ekanligini aniqladi.
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