HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI

HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI

Authors

  • Mamatov N.S “Toshkent irrigatsiya va qishloq xo‘jaligini mexanizatsiyalash muhandislari instituti” Milliy tadqiqot universiteti
  • Asqarov A.A “Toshkent irrigatsiya va qishloq xo‘jaligini mexanizatsiyalash muhandislari instituti” Milliy tadqiqot universiteti

Keywords:

Havo sifati indeksi (HIS), RMSE, OLS, chiziqli regressiya, mashinali o‘qitish, o‘rtacha kvadratik xatolik.

Abstract

This paper examines the use of linear regression models to predict the air quality
index (HSI), first analyzing historical air quality index data and taking into account their time
trends.

References

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He Y., Qi D., Bure V. New Application of Multiple Linear Regression Method: A Case in China Air Quality // Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes. – 2022. – DOI: 10.21638/11701/spbu10.2022.406. DOI havolasi

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Gupta R., Singla P. Implementation of Feature Engineering in Innovation Trends in Computing and Communication. – 2023. – DOI: 10.17762/ijritcc.v11i11s.8070. DOI havolasi

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Published

2025-04-18

How to Cite

Mamatov N.S, & Asqarov A.A. (2025). HAVO SIFATI INDEKSINI BASHORATLASHNING REGRESSION MODELI. MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL, 2(2), 69–74. Retrieved from https://journals.timeedu.uz/index.php/mesr/article/view/357

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