Commonly used types of UML class diagram elements are class, class attribute, data type, binary association, unary association, N-ry association, operation, parameter, association, generalization, ...

Multi-class classification, where a sample must be assigned to one of more than two classes, introduces additional challenges such as increased computational complexity and reduced accuracy due to ...

Blind test evaluations confirmed the robustness of the model for both binary and four-class classification, while five-fold cross-validation for the augmented three-class classification dataset ...

The class with the highest score is assigned as the predicted class for the input. This technique effectively reduces the multi-class problem into a series of binary classification problems. Each ...

LightGBM can perform multi-class classification, binary classification (predict one of two possible values), regression (predict a single numeric value) and ranking.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...