DECISION-TREE-ALGORITHM-FOR-CLASSIFICATION- Machine Learning Algorithms Data Mining is widening its scope by using new algorithms applicability in several domains which assist us in gaining more ...

Decision trees are a machine learning algorithm used for data classification and regression tasks. They consist of a hierarchical structure with nodes representing decisions or tests on features.

Ethical decision making is everyone’s responsibility. In the Directive on Value and Ethics [DOC-41KB] for Classification issued by the Director, Civilian Classification and Organization (DCCO), there ...

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.

This research work is based on the development of an intelligent Multi-Criteria Decision-Making Method. Research is mainly focused towards conversion of TOPSIS from its conventional form to an ...

Main Objective The primary objective of this project is to implement and compare three tree-based classification algorithms: Decision Trees, Random Forests, and Gradient Boosting. The project aims to ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

Background Machine learning algorithms are increasingly used to inform decision-making in healthcare and health policy. Data-driven algorithms are commonly thought to offer more consistent and fairer ...