Selected Methods of Feature Selection - Medical Case Study
Beata Marta Zielosko, Anton Dmytrenko · Procedia Computer Science · 2024
The research work aimed to analyse and compare five different feature selection methods belonging to filter and wrapper approaches. The methods were evaluated taking into account the knowledge discovery and knowledge representation perspectives. The Gradient Boosting classifier was used as a benchmark model due to its performance and flexibility. Extensive tests were conducted on the Wisconsin Breast Cancer Diagnostic dataset and indicated cases of enhanced prediction for the reduced set of features.