Correspondence to: Dr R McNamee Biostatistics Group, Division of Epidemiology and Health Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Oxford Road, Manchester M13 9PT, ...

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

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Coming off a dominant performance at Kansas, Kyle Larson's peak could be untouchable today -- Neil Paine looks at how Larson ...

Table 2 Modified Logistic-Regression Prediction Model (PLCO M2012) of Cancer Risk for 36,286 Control Participants Who Had Ever Smoked. Accuracy of Lung-Cancer Classification According to ...

Figure 1 Alternative logistic regression models with odds ratio (OR) per 0.10 units of increase in the frailty index. Alternatively, ordinal logistic regression can be used. It comes in several ...

By combining some of the building blocks for our decision tree classification protocol, we also improve previously proposed solutions for classification of support vector machines and logistic ...