BioMed Research International / 2021 / Article / Tab 4

Research Article

Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors

Table 4

The performance of random forest models.

AUCSensitivitySpecificityAccuracyOverall accuracyMicro AUC

Binary model0.9793.33%95.61%94.71%
Tertiary model
Benign0.9586.18%83.62%84.94%82.77%0.94
Malignant0.9890.77%92.53%92.05%
Intermediate0.8958.82%93.62%86.19%

Note: AUC: area under the receiver operating characteristic curve. All the results were obtained in the test set of two models.

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