作者通过机器学习进行标志选择(Marker selection),用选定的256个 DMRs 作为输入,使用随机森林学习算法训练出一个分类模型。ROC 曲线的曲线下面积(AUC,Area under the Curve of ROC)在训练集和少数样品的测试集当中分别达到了 0.962 和 0.950,说明该分类模型是有效的。基于模型当中的“Importance”参数,作者选择了最靠...
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...
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 ...
ROC curves showed that GPC1-positive exosomes in peripheral blood displayed higher area under the curve (AUC) than CA19-9 in peripheral blood (Figure 4). Table 3. Diagnosis values of GPC1 positive exosomes, CA19-9 and EUS-FNA TestSensitivity (95% CI)Specificity (95%CI)Positive predictive...
4C). In addition, we conducted ROC curve analysis to evaluate the performance of the PAM.score, the AUC was 0.850 for 1-year, 0.831 for 3-year and 0.725 for 5-year (Fig. 4D). We also found the expression of PRMT1, PRMT2, PRMT3, PRMT5, PRMT6, PRMT7, PRMT9 were significantly...
Confidence level scores were used to construct receiver-operating characteristic (ROC) curves. Area under the curve (AUC) values and diagnostic parameters were calculated and compared.Gadofosveset T1W MRI + T2W MRI showed slightly superior sensitivity than T2W MRI for the general but not the ...
(ROC) analysis, which returned the area under the curve (AUC; see Methods). For each cell, AUC > 0.5 ( < 0.5) indicated higher (lower) firing rates when the animal chose the juice encoded by the cell (Eo trials). For example, for the cell in Fig.2c, AUC = 0.79....
We calculated the area under the curve (AUC) for the receiver operating characteristic relationship and tested whether it differed significantly from the null value of 0.5; a null value would indicate that a given DDS has no predictive value. The performance of the different diversity scores was ...
ROC curve analysis revealed that the cut-off value for KES was 0.79 Nm/kg (area under the curve (AUC) 0.68; sensitivity 64.7%; specificity 68.5%) on the involved side and 0.86 Nm/kg (AUC 0.73; sensitivity 84.6%; specificity 55.6%) on the uninvolved side, and for HAS was 0.57 Nm/kg...