Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

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 ...

Zhu Yi Ziting [14] (2023) constructed a prediction model for postoperative heart failure based on logistic regression methods of traditional machine learning. Tu Jiawen [15] (2023) evaluated the ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.