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

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 ...

Classifier tuning will allow users to manually adjust classification models for improved accuracy in data classification with no advanced coding skills necessary. Businesses are faced with managing an ...