A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...

Abstract: In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these ...

Background: According to a recent report by the WHO, approximately 17.5\% (about one-sixth) of the global adult population is affected by infertility. Consequently, researchers worldwide have proposed ...

Abstract: In order to solve the problem that the crack defects generated on the surface of MEMS devices are difficult to detect under high overload impact, this paper proposes a crack detection method ...