Improving the reliability of machine learning models by filling in missing nan values in medical datasets using a genetic algorithm

Sariyev, Shohruh

Al-Farg'oniy avlodlari · 2025-yil

Annotatsiya

This article proposes a genetic algorithm-based approach to optimize the filling of missing NaN values in a dataset. The focus is on selecting NaN values in the dataset directly corresponding to the results of the classification task. In the proposed method, each individual is represented as a chromosome in the form of a vector of all missing values. The search space is bounded by the given intervals for numerical attributes, and by the set of appropriate categories for categorical attributes. The accuracy indicator of the Random Forest ensemble model was used as the fitness function in the genetic algorithm.

Maqola ma’lumotlari
MualliflarSariyev, Shohruh
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2025-12-20
Son4
Betlar138-144
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Генетический алгоритм, МО, ИИ, СЛ, KNN, Genetic algorithm, ML, AI, Random Forest, KNN, Genetik algoritm, mashinaviy o‘qitish, sun’iy intellekt, Random Forest, KNN

Ilmiy soha

Texnika

Iqtibos keltirish

APASariyev, Shohruh (2025). IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM. Al-Farg'oniy avlodlari, (4), 138-144. https://al-fargoniy.uz/index.php/journal/article/view/963
GOST (OAK)Sariyev, Shohruh IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM // Al-Farg'oniy avlodlari. – 2025. – № 4. – P. 138-144.
MLASariyev, Shohruh. “IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM.” Al-Farg'oniy avlodlari, (4), 138-144, 2025. https://al-fargoniy.uz/index.php/journal/article/view/963
ChicagoSariyev, Shohruh. “IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM.” Al-Farg'oniy avlodlari, (4), 138-144 (2025). https://al-fargoniy.uz/index.php/journal/article/view/963
HarvardSariyev, Shohruh (2025) ‘IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM’, Al-Farg'oniy avlodlari, (4), 138-144. https://al-fargoniy.uz/index.php/journal/article/view/963
BibTeX
@article{sariyevshohruh2025,
  title = {IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM},
  author = {Sariyev, Shohruh},
  journal = {Al-Farg'oniy avlodlari},
  year = {2025},
  number = {4},
  pages = {138-144},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/963}
}

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