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Table 2 Model performance on prediction

From: Prediction of orthognathic surgery plan from 3D cephalometric analysis via deep learning

Models

Validation set

Clinical test set

R2 score

MSE

MAE(mm)

R2 score

MSE

MAE(mm)

Random Forest

0.4859

0.0138

1.7322

0.4564

0.0083

1.4088

KNN

0.4599

0.0154

1.9200

0.4337

0.0088

1.4978

Ridge Regression

0.6592

0.0094

1.3568

0.4390

0.0084

1.3741

ANN

0.5467

0.0144

1.6722

0.4914

0.0080

1.3614

VSP transformer

0.6602

0.0078

1.4137

0.5159

0.0075

1.3440

  1. MSE were calculated by normalization results. MAE were calculated by de-normalization results