CIFAR-10 GreenXAI: A Multi-Architecture, Multi-Seed Dataset of Predictions, Uncertainty, Model Agreement, and Computational Sustainability
CIFAR-10 GreenXAI is a derived machine-learning dataset developed to support research on predictive uncertainty, classification reliability, model agreement, reproducibility, and computational sustainability. The dataset contains 250,000 image–model–seed prediction records and 153 variables. It was generated by evaluat...