MACHINE LEARNING MODEL EVALUATION AND METHODOLOGY FOR PREPARING MODELS FOR DEPLOYMENT
Received: 2026-06-21 17:54:41
Published: 2025-12-21
Abstract
This paper develops methodological approaches to evaluating machine learning models within Business Intelligence (BI) systems, analyzing their accuracy levels, and preparing them for deployment. The study examines both offline and online model evaluation techniques, discusses strategies for preventing overfitting and underfitting, and assesses the effectiveness of train-test split and cross-validation methods.
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License
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
[1]
Matchonov, S. and Pulatova , S. trans. 2025. MACHINE LEARNING MODEL EVALUATION AND METHODOLOGY FOR PREPARING MODELS FOR DEPLOYMENT. Uzbekistan Open Conference. 2 (Dec. 2025). DOI:https://doi.org/10.57033/.
