Topological embedding and directional feature importance in ensemble classifiers for multi-class classification
Eloisa Rocha Liedl,
Shabeer Mohamed Yassin,
Melpomeni Kasapi
et al.
Abstract:Cancer is the second leading cause of disease-related death worldwide, and machine learning-based identification of novel biomarkers is crucial for improving early detection and treatment of various cancers. A key challenge in applying machine learning to high-dimensional data is deriving important features in an interpretable manner to provide meaningful insights into the underlying biological mechanismsWe developed a class-based directional feature importance (CLIFI) metric for decision tree methods and demo… Show more
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