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 ...

You will notice that the coefficient for age has decreased by about half (0.4 vs ... logistic regression is a powerful statistical method. Table 1 outlines the key differences between these two ...

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 ...

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 ...