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 ...

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 ...

Next, the demo trains a logistic regression model using raw Python, rather than by using a machine learning code library such as Microsoft ML.NET or scikit. [Click on image for larger view.] Figure 1: ...