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 ...

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 ...