Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...

Basic logistic regression can be used for binary classification, for example predicting if a person is male or female based on predictors such as age, height, annual income, and so on. Multi-class ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks. In machine ...

Logistic Regression classification method is used to separate variable stars from nonvariable stars. The light blue points show nonvariable sources, while the violet show variable sources.

Following this, the classification performance of the logistic regression models used in the previous experiment was examined using the newer dataset. The mutations included in the updated dataset ...

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

Figure 2: Robustness of classification to outliers depends on the type of regression used to establish thresholds. Figure 3: Optimal estimates in logistic regression are found iteratively via ...