The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

Then the demo uses the ML.NET library to create and train a logistic regression binary classification model. The trained model scores 57.50 percent accuracy on the training data (23 out of 40 correct ...

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy ...