Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM

Research article (2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 2024) · cited 29× · AI/ML
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Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM

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Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-predictive-model-performance-through-comprehensive-pre-processing-and-hybrid-feature-selection-a-study-using-s
MLA “Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-predictive-model-performance-through-comprehensive-pre-processing-and-hybrid-feature-selection-a-study-using-s.
BibTeX @misc{4ortxyz_enhancing-predictive-model-performance-through-comprehensive-pre-processing-and-hybrid-feature-selection-a-study-using-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Predictive Model Performance through Comprehensive Pre-processing and Hybrid Feature Selection: A Study using SVM}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-predictive-model-performance-through-comprehensive-pre-processing-and-hybrid-feature-selection-a-study-using-s}, note = {Accessed: 2026-05-24}}
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