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 ...

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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 ...

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 ...