Machine Learning Model Selection Tool for Supervised Learning Algorithms (2024)
This study explores how users can choose the best supervised learning algorithms for regression and classification.
The tool highlights the importance of mean R² values and F1 scores as evaluation metrics.
A Comparative Study on How AI is Partnering with Nature for a Sustainable Future (2024)
This paper investigates how AI can contribute to achieving Sustainable Development Goals (SDGs) by establishing
a “Symbiotic Synergy” with natural systems, using surveys, case studies, and categorizations.
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