During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability. This probabilistic approach leverages Bayes’ theorem under the ...

Background and objective: The increasing global prevalence of diabetes has led to a surge in complications, significantly burdening healthcare systems and affecting patient quality of life. Early ...

The ruins of the doomed superyacht Bayesian that sunk off the Sicilian coast will be raised from the sea bed — as officials search for more clues about the tragic wreck. Italian authorities will begin ...

The University Insider is The Daily’s first faculty and staff-oriented newsletter. This weekly newsletter will give U-M faculty and staff the ability to see the most important issues on campus and in ...

ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...

Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, No. 11 (March 15, 2022), pp. 1-7 (7 pages) Artificial intelligence (AI) and machine learning models are being ...

ABSTRACT: Objective: Our study aims to validate the subjective Bayes mathematical model using the mathematical model of logistic regression. Expert systems are being utilized increasingly in medical ...

Add a description, image, and links to the naive-bayes-classifier topic page so that developers can more easily learn about it.

debug: Contains scripts for debugging. debug_visualize_samples.py: Script for visualizing data samples for debugging purposes. Helps understand the input data and ...