The demo reads a 200-item set of training data and a 40-item set of test data into memory, then uses the training data to create a logistic regression model using the L-BFGS algorithm. After training, ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: ... (KNN), and random forest (RF) in ...

There has been much recent interest in use of machine learning (ML) for cancer prediction, but few studies comparing ML with classical statistical models for NCGC risk prediction. Methods We trained ...