Fig. 4From: Machine learning analysis of gene expression profile reveals a novel diagnostic signature for osteoporosisThe construction of logistic regression diagnostic model. a The forest map of 9 optimal mRNAs in logistic regression model. P < 0.01 demonstrated that the mRNA contributes more to the model. b The component plus residual plot of 9 mRNAs in logistic regression model. The obvious linear relationship between the horizontal axis and the vertical axis indicates that the independent variables are suitable to be brought in the model. c The ROC curve of model. The horizontal axis represents false-positive rate, and the vertical axis represents true-positive rate. AUC value could assess the accuracy of the model, and the greater AUC value indicates higher accuracy of the modelBack to article page