BioMed Research International / 2021 / Article / Fig 2

Research Article

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

Figure 2

Flow chart of the random forest models. The binary classification model consisted of an ensemble of 15 random decision trees and maximum depth set to 10. The tertiary classification model consisted of an ensemble of 85 random decision trees and maximum depth set to 8. Output from all decision trees determines the final prediction.

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