James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting ... are extremely large in ...

Overly complex models typically have low bias and high variance (overfitting ... would randomly select 800 patients for the multiple logistic regression fit and use the remaining 200 for ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Compare logistic regression’s strengths ... to overcome tree models' tendency to overfit. The winner utilizes an ensemble approach in many machine learning competitions, aggregating predictions from ...