Fig. 1 | Scientific Reports

Fig. 1

From: Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy

Fig. 1

(A) The LASSO regression uses tenfold cross-validation to identify the optimal lambda value and selects 19 variables for the model. (B) The feature influence of random forest screening is sorted according to MeanDecreaseAccuracy, and we selected the top 14 features based on the multiple correction error rate. C The filtered features of the three machine learning methods are sorted according to the confidence of their respective models after numerical normalization.

Back to article page