Table 2 The mean absolute error(MAE), Mean Squared Error (MSE), Pearson correlation(PCC) and 95% confidence intervals comparison of Siamese networks for predicting reproduction skill scores under different backbone networks in the test set.The lower the MAE and MSE, the smaller the difference between the predicted value and the measured value; The higher the PCC, the higher the linear correlation between the predicted value and the measured value.

From: Predict the writer’s trait emotional intelligence from reproduced calligraphy

Evaluation Indicator

VGG16

VGG19

Resnet50

Resnet101

Densenet121

MAE

0.390

0.398

0.529

0.563

0.596

MSE

0.251

0.265

0.461

0.525

0.567

PCC

0.770

0.755

0.575

0.498

0.523

95% CI of PCC

[0.758, 0.781]

[0.743, 0.767]

[0.556, 0.593]

[0.477, 0.519]

[0.502, 0.543]