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 ...

For example, 0, 1, and 2 were applied to ... Table 5 Comparison of logistic regression and multivariate adaptive regression splines (MARS) for detecting single nucleotide polymorphism–single ...

In multivariate logistic-regression analysis, an age greater than 65 years, coronary artery disease, congestive heart failure, history of cardiac arrhythmia, chronic obstructive pulmonary disease ...