Ji Zhu, Trevor Hastie, Kernel Logistic Regression and the Import Vector Machine, Journal of Computational and Graphical Statistics, Vol. 14, No. 1 (Mar., 2005), pp. 185-205 ...

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 ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams ...

Machine learning offers new way of designing chiral crystals Logistic regression analysis model predicts ideal chiral crystal Date: April 10, 2018 Source: Hiroshima University Summary: Engineers ...

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 ...