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LambdaMART can boost supply chain recovery by up to 16% compared to static benchmarks, but complexity doesn't always guarantee better outcomes.
Training-time regularization can enhance forecast stability by over 7% without sacrificing point accuracy, challenging conventional forecasting methods.