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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.

Logistic regression is considered a type of supervised machine learning algorithm. Advantages of the method in this setting include that it is interpretable, simple to understand and can be ...

Note that the common "logistic regression" machine learning technique is actually a binary classification system in spite of its name. Arguably the most powerful regression technique is a neural ...