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What is Feature Elimination for Small Datasets about?
The article presents the NETCORE algorithm, a model-independent feature elimination strategy designed for small datasets in machine learning. This algorithm addresses the limitations of traditional feature selection methods by focusing on redundancy and elimination efficiency, making it applicable to various correlation topographies without requiring an output label. NETCORE has the potential to enhance preprocessing in machine learning pipelines by effectively reducing dimensionality while maintaining esse
- Author
- Dyan Kurbaniawan
- Language
- EN