Fig. 2
From: Machine learning-based decision support system for orthognathic diagnosis and treatment planning
The performance of five machine learning algorithms (BR-XGBoost, SVM, neural network, discriminant analysis, Bayesian classification) was evaluated in six classification problems related to dento-maxillofacial deformities: maxillary overgrowth, maxillary undergrowth, maxillary deviation, mandibular overgrowth, mandibular undergrowth, and mandibular deviation. The radar chart shows the algorithm performs on Accuracy, Precision, Recall, Specificity, and F1 score. The BR-XGBoost algorithm consistently demonstrated superior results across all six classification problems