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Published at November 26

Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry

cs.LG

Released Date: November 26, 2024

Authors: Thomas Bruys¹, Reza Zandehshahvar¹, Amira Hijazi¹, Pascal Van Hentenryck¹

Aff.: ¹Georgia Institute of Technology, Atlanta, USA

Arxiv: http://arxiv.org/abs/2411.17502v1

Refer to caption

Model	Num Emb	Building Prediction Accuracy
Model	Num Emb	All Data	No Shift	Internal Shift	External Shift
DT	-	0.988 ± 0.003	0.996 ± 0.001	0.994 ± 0.002	0.587 ± 0.031
RF	-	0.990 ± 0.003	0.999 ± 0.001	0.998 ± 0.001	0.502 ± 0.039
CatBoost	-	0.974 ± 0.035	0.982 ± 0.035	0.984 ± 0.032	0.529 ± 0.069
LGBM	-	0.986 ± 0.015	0.995 ± 0.009	0.995 ± 0.008	0.571 ± 0.152
XGBoost	-	0.992 ± 0.001	0.999 ± 0.001	0.998 ± 0.002	0.643 ± 0.030
MLP	✗	0.952 ± 0.075	0.960 ± 0.075	0.959 ± 0.075	0.514 ± 0.068
MLP	PLR	0.990 ± 0.001	0.997 ± 0.001	0.997 ± 0.002	0.592 ± 0.058
MLP	QL	0.990 ± 0.002	0.997 ± 0.001	0.997 ± 0.001	0.622 ± 0.030
ResNet	✗	0.974 ± 0.030	0.983 ± 0.029	0.978 ± 0.037	0.533 ± 0.079
ResNet	PLR	0.989 ± 0.002	0.996 ± 0.001	0.996 ± 0.002	0.590 ± 0.055
ResNet	QL	0.990 ± 0.002	0.997 ± 0.001	0.997 ± 0.001	0.651 ± 0.036