Наука и инновации 4-jild vation-son (2026) · 45–49-betlar

CROSS-VALIDATION METHOD AND MODEL OPTIMIZATION METHODS

Murojiddinova, Saodatxon, Sobirjonov, Bekhzod

DOI: 10.5281/zenodo.20354968 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

This paper examines the evaluation of machine learning models and their generalization ability. Types of cross-validation (K-fold, LOOCV, stratified) and model optimization methods (Grid Search, Random Search, Bayesian Optimization) are analyzed. These approaches help improve model performance and reduce overfitting.

mashinaviy o‘qitishmodel baholashcross-validationumumlashtirishoverfittinggiperparametroptimallashtirish.machine learningmodel evaluationcross-validation

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.