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Methodology->
Workflow:
We implemented three machine learning techniques (SVM, Decision Tree, and MLP) for manufacturing classification problems
Each algorithm was chosen for its unique strengths: SVM for kernel transformation in complex patterns, Decision Trees for clear interpretable paths, and MLP for weighted connection patterns
Models were evaluated based on heterogeneity handling, interpretability, data irregularity management, and scalability
Implementation included parameter optimization and comprehensive performance assessment across all models
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