From Innovation Drivers to Regional Patterns: A Hybrid Econometric and Machine Learning Framework
This study integrates econometrics, unsupervised clustering, and supervised machine learning to analyze European regional innovation data, revealing that while innovation drivers follow systematic positive relationships, regional performance exhibits significant heterogeneity and nonlinear predictability best captured by K-Means clustering and K-Nearest Neighbors regression.