An agent-based model (ABM) built to test archaeological ideas about how nuraghi were built: who quarried, dressed, hauled and lifted the stone, how communities cooperated, formed alliances or relied ...
ML, quant data (COT, macro), forecasting model (Chronos), turning-point learning Each adds little: PF 1.05 at best on unseen months; turn-or-continue AUC 0.56. Your judgement (labeller) Not measured ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results