When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

The region-growing algorithm had the best segmentation performance in an assessment of the effectiveness of artificial intelligence methods for melanoma classification, according to findings ...

The Data Science Lab. 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 ...

Logistic regression (for binary classification) Linear discriminant analysis (for multi-category classification) Decision trees (for both classification and regression) ...

The logistic regression successfully classified stage group in 77% of patients in the validation cohort, with sensitivity and specificity both exceeding 75%, comparing favorably with previously ...

A new study investigated how logistic regression model training affects performance, ... The researchers found that Random Forest was the best performing algorithm for classification, ...

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams. Authors: ... Our central finding is that LR ...