Abstract
This repository contains the processed dataset and the Python notebook used in the study entitled "Hybrid Learning Framework for Industry 4.0 Performance Assessment". The repository includes:- Processed dataset constructed from publicly available indices (NRI, GII, NCSI)- Clustering-based label generation- Multi-layer perceptron modeling- Permutation feature importance- Robustness analysis- TOPSIS-based ranking implementation All original data sources are publicly available.
Keywords
Python (programming language)
Robustness (evolution)
Feature engineering
Ranking (information retrieval)
Multilayer perceptron
Feature (linguistics)
Classifier (UML)
Training set
Computer science
Data mining
Machine learning
Artificial intelligence
Related YTU Activities
Sustainability activities and projects connected to this article.
