Table 2.

Results of cross-validation for QCNN-LSCI and CNN-LSCI . The loss is calculated by MSE.

Model	Train loss	Val loss	Val MAPE	Test loss	Test MAPE
QCNN-LSCI	0.4283 ± 0.0865	0.9059 ± 0.1699	19.67% ± 1.89%	0.7420 ± 0.0822	22.30% ± 1.24%
CNN-LSCI	1.1118 ± 0.1330	0.9556 ± 0.1831	25.07% ± 1.86%	0.8704 ± 0.1227	30.16% ± 2.71%