Binary Classification Using LightGBM. Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Logistic regression is used for simple, interpretable, and effective binary classification tasks. It can handle binary tasks as well as approximate probabilities. Decision trees are easy to understand ...

The main reasons to use this dataset are: (1) to show you that you don't need huge datasets with thousands of records to build a good classifier, and (2) it contains 7 classes, as far as I know, the ...

The program shown in Listing 4 demonstrates how to train a network for binary classification. The screenshot in Figure 2 shows the output from the test program. Listing 4: Training a Neural Network # ...

Clark, J.B., Zabdyr, L. and Moser, Z. (2001) Phase Diagrams of Binary Magnesium Alloys. Journal of Materials Processing Technology, 117, 276-281. has been cited by the following article: TITLE: Thermo ...