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 |