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Table 3 Classification table of Bayesian neural networks. Predictive power of KIT, TC1, miR-222, and miR-146b for discriminating malignant from benign: among the 51 cases used to train the model, 94.12 % of them were correctly classified

From: The combination of four molecular markers improves thyroid cancer cytologic diagnosis and patient management

Actual mal_ben Group size Predicted
   Benign Malignant
Benign 13 12 1
(92.31 %) (7.69 %)
Malignant 38 2 36
(5.26 %) (94.74 %)