eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Logistic regression is a statistical technique used to ...

James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting ... are extremely large in ...

Overly complex models typically have low bias and high variance (overfitting ... would randomly select 800 patients for the multiple logistic regression fit and use the remaining 200 for ...

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

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

Compare logistic regression’s strengths ... to overcome tree models' tendency to overfit. The winner utilizes an ensemble approach in many machine learning competitions, aggregating predictions from ...

Logistic Regression with Batch SGD Training and Weight Decay Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary ...