Figure 4
From: Electronic Health Record Driven Prediction for Gestational Diabetes Mellitus in Early Pregnancy
Significance of CSHM comparing with other methods. (A) Significance of CSHM to the algorithms of SVM, LR and NN; (B) significance of CSHM(100) to the other four cost sensitive contexts. (C) Comparison of the results with CSHM and SVM on the experimental data set. T(1): CSHM(1), CSHM model takes the cost parameter λ1=1. T(1)-LR (or NN, SVM): the true positive rates of CSHM(1) minus those of LR (or NN, SVM). T(100)-T(1)(or T(5), T(10), T(1000)): the true positive rates of CSHM(100) minus those of CSHM(1) (or T(5), T(10), T(1000)). p-value < 0.001 illustrates the significance of those two methods with a two-sided test for difference in AUC.
