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This study presents a detailed analysis of four UKF-NB models: 3rCDDP1000, 3rVCR10, 3a, and 3b. We investigate their performance across various parameters, highlighting the differences and similarities in their behaviors. The models leverage Unscented Kalman Filtering and Naive Bayes techniques for enhanced data representation. Results indicate distinct patterns and efficiency in predictive accuracy, with implications for future applications in statistical modeling and data-driven decision making.
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