Logistic regression can be thought of as an extension to, or a special case of, linear regression ... In machine learning, it is used mainly as a binary classification task where the objective is to ...

James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting ... but produces very fast ...

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

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

People have argued the relative benefits of trees vs. logistic regression in the context of interpretability, robustness, etc. But let’s assume for now that all you care about is out of sample ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...

In recent columns we showed how linear ... of classification to outliers depends on the type of regression used to establish thresholds. Figure 3: Optimal estimates in logistic regression are ...