Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

Abstract: This paper explores the correlation between momentum and scoring trends using a combination of binary logistic regression and Monte Carlo simulation. The real-time momentum of the game is ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Abstract: Everal real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples. Credit scoring is a typical example ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...