The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

##DESCRIPTION OF DECISION TREE IMPLEMENTATION TASK : - Tools and Libraries Used- Python: The primary programming language used for the implementation. Pandas: A library for data manipulation and ...

Overall, the combination of computer vision systems with the decision tree algorithm proved to be an effective method for tomato quality classification. Performance metrics including accuracy (0.836), ...

In developing decision trees, both presence of diagnosis and treatment records and their dates were considered. Fig 1 . Conceptual framework for evaluation and consolidation of cancer diagnosis and ...

President Trump's unexpected announcement to lift Syria sanctions has created confusion within US agencies, despite some prior discussions. The decision, made after consulting with Turkish and ...

Fuzzy Decision Tree (FID 3.4) and other algorithms were used for the classification of the defects that occur in the production process of glass for packing. In this study we used the Project ...

As a widely-used machine-learning classifier, a decision tree model can be trained and deployed at a service provider to provide classification services for clients, e.g., remote diagnostics. To ...