Frequency of this problem in the literature. To verify how frequent these problems are, we did a survey of published cohort studies (n = 75) and RCTs (n = 288).13 About one-third of cohort studies ...

logistic regression is purely a classification supervised learning problem. in such type of problem labelled data set is given. logistic regression is used to separate two or more classes using lines, ...

The aim of this paper is to study a new prediction method for the churn problem for airlines. For this end, a conjugate gradient logistic regression (CG-logistic regression) model is built, which ...

During the three year study period, 11 032 (20.0%, 95% confidence interval 19.6% to 20.3%) women had at least one reoperation.1 Logistic regression analysis examined the association between breast ...

Logistic regression is a supervised binary classification algorithm in machine learning. It is an important part of neural network and convolutional neural network. An important part of the logistic ...