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The ML.NET library supports a wide range of binary classifiers. The demo uses the LbfgsLogisticRegression trainer. Other binary classifiers include SdcaLogisticRegression (logistic regression using a ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

Kin-Yee Chan, Wei-Yin Loh, LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees, Journal of Computational and Graphical Statistics, Vol. 13, No. 4 (Dec., 2004), pp.

A team of researchers in China retrospectively analyzed common machine learning (ML) algorithms and compared them with traditional regression models in surgical decision-making for cardial ...

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