A robust and interpretable feature selection pipeline

• المؤلف الرئيسي: Krishnan, Nithya
• مؤلفون آخرون: A S Madhukumar
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148109
• المؤسسة: Nanyang Technological University

A feature selection pipeline that removes redundant and irrelevant features without resulting in a significant drop in performance is investigated in this work. The novel pipeline frameworks consider the combined effect of redundancy minimisation through Principal Feature Analysis (PFA) algorithms...