AUC (Area Under Curve) 被定义为ROC曲线下的面积,显然这个面积的数值不会大于1。又由于ROC曲线一般都处于y=x这条直线的上方,所以AUC的取值范围一般在0.5和1之间。使用AUC值作为评价标准是因为很多时候ROC曲线并不能清晰的说明哪个分类器的效果更好,而作为一个数值,对应AUC更大的分类器效果更好。 从AUC判断分类...
AUC(area under ROC curve), 即 ROC 曲线下方的面积  ROC与P-R关系 PR曲线和ROC曲线有什么联系和不同? 相同点: 首先从定义上PR曲线的R值是等于ROC曲线中的TPR值, 都是用来评价分类器的性能的. 不同点: ROC曲线是单调的而PR曲线不是(根据它能更方便调参), 可以用AUC的值得大小来评价分类器的好坏(是...
Laboratory biomarkers compared between sterile necrotizing pancreatitis and INP were used as the index test, and our outcome measures included sensitivity, specificity, the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC). Within the first 72 hours (h) after admission...
Along with the ROC curves, which show the True Positive Rate = TP T P +F N plot- ted against the False Positive Rate = F FP P +T N , we also re- port the Area Under Curve (AUC) and the maximum F- measure ( 2·Precision·Recall Precision+Recall ) as performance measures. 4.1...
(G) ROC curve and the AUC of risk score classification in the TCGA-LIHC dataset. (H) Kaplan–Meier survival curve distribution of risk score in the TCGA-LIHC dataset. Full size image Further better understanding the prognostic model based on 6 NK cell-related genes, we calculated the ...
Receiver operating characteristic curves (ROC) for hematologic biomarkers were used to assess the sensitivity, specificity, and area under the curve (AUC) for iron deficiency (ID) and iron deficiency anemia (IDA), crude, or corrected for inflammation. Regression models assessed the relationship of ...
For instance, Hu et al., integrated lncRNAs SPRY4-IT1, ANRIL and NEAT1 in their studies on nonsmall-cell lung cancer and obtained a specificity of 92.3%, a sensitivity of 82.8%, and an AUC (ROC) (area under the ROC curve - receiver operating characteristic) of 0.87661 (Table 1). ...
The receiver operating characteristics (ROC) analysis showed an area under the curve (AUC) of 0.707 [0.638-0.776], 0.764 [0.704-0.825], and 0.783 [0.724-0.842] for inhospital mortality and 0.684 [0.621-0.746], 0.718 [0.659-0.778], and 0.744 [0.687-0.801] for 180- day cumulative mortality...
Instead, AUC, ROC,... dominates while the model does often need to watch out model drivers. In traditional models like regression where your original question touches on, BIC, AIC, models often, out of domain requirement or not, do watch our model specification. With machine learning mod...
The receiver operating characteristic (ROC) area under the curve (AUC) method was used to determine the optimal thresholds for predicting the histological response. Additionally, the prognostic value of this cutoff for relapse-free survival was assessed.#Out of 184 patients, 83 (45%) had tumor ...