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

This is closely related to the traditional statistical application of the method, the key difference being that in machine learning, logistic regression is used to develop a model that learns from ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

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

There are dozens of machine learning algorithms, ranging in complexity from linear regression and logistic regression to deep neural networks and ensembles (combinations of other models).

This is the first study reporting the use of this technology, called logistic ... use machine learning to classify faces and things that are not faces," Shimono said. "We can train our model ...