Parameter Prediction Under Ambiguity: Single-Target vs. Multi-choice Models for IEA Configuration on QAP
These findings suggest that direct configuration prediction provides a robust approach despite ambiguity in the parameter space, and are compared to a regression-based performance prediction model, a multiple-choice model that treats near-optimal configurations as valid targets, and a baseline single-label model.