A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...

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

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

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.

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 ...

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 ...