Fig. 3From: Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learningViolin plots showing the distribution of accuracy estimates obtained across the cross-validation folds during model training of four algorithms using two synthetic class imbalance correction methods—(a) gradient boosting (b) k-nearest neighbor (c) multilayer perceptron (d) linear discriminant analysisBack to article page