CROSS-VALIDATION METHOD AND MODEL OPTIMIZATION METHODS
DOI:
https://doi.org/10.5281/zenodo.20354968Keywords:
machine learning, model evaluation, cross-validation, generalization, overfitting, hyperparameters, optimization. МЕТОД КРОСС-ВАЛИДАЦИИ И МЕТОДЫ ОПТИМИЗАЦИИ МОДЕЛИ Мурожиддинова Саодатхон Зайнобиддин кизи Студентка 3-го курса направления "Информационные системы и технологии" ФерГУ. murojiddinovasaodatxon@gmail.com Собиржонов Бехзод Кахрамонович Преподаватель кафедры информационных технологий ФерГУ bekzodbekqahromonovich@gmail.comAbstract
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.References
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