Research Article

Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers

Table 4

Accuracy, sensitivity, and specificity of artificial neural network, decision trees ID3 and C4.5 for the thermography.

Artificial neural network Decision tree ID3 Decision tree C4.5

Accuracy 67.47% (±15.65) 73.19% (±12.84) 75.50% (±6.99)
Sensitivity 82% (73–91) 87% (79–94) 94% (88–99)
Specificity33% (13–53) 29% (9–48) 0% (0-0)