Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...

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.

The ML.NET library supports a wide range of binary classifiers. The demo uses the LbfgsLogisticRegression trainer. Other binary classifiers include SdcaLogisticRegression (logistic regression using a ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data ...

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

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

Recent research represents a novel contribution to the understanding of PNI as a potential predictor of preeclampsia in twin pregnancies, suggesting the need for further prospective studies ...