作为Comate,很高兴为你解释德龙检验(Delong Test)及其在Python中的实现。 1. 解释什么是德龙检验(Delong Test)以及其应用场景 德龙检验(Delong Test)是一种用于比较两个相关或独立的ROC曲线下的面积(AUC)的统计方法。它特别适用于样本量较小的情况,并且考虑了AUC估计的标准误。德龙检验的应用场景包括但不限于: 医...
3. 注意: 在Python语言中, del语句操作某个对象的时候, 并不是直接将该对象在内存中删除, 而是将该对象的引用计数-1 >>> a = "larry" >>> b = a >>> del a >>> id(b) 4572141808 >>> id(a) Traceback (most recent call last): File "", line 1, in <module> id(a) NameError: nam...
r from rpy2.robjects.packages import importr def roc_test_r(targets_1, scores_1, targets_2, scores_2, method='delong'): # method: “delong”, “bootstrap” or “venkatraman” importr('pROC') robj.globalenv['targets_1'] = targets_1 = robj.FloatVector(targets_1) robj.globalenv['...
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Matlab代码见https://github.com/PamixSun/DeLongUI 可以得到曲线的AUC值,方差和两个曲线的协方差,p值 Delong test的具体理论 用R语言绘制ROC曲线 1 roc曲线的意义 ROC曲线就是用来判断诊断的正确性,最理想的就是曲线下的面积为1,比较理想的状态就是曲线下的面积在0.8-0.9之间,0.5的话对实验结果没有什么影响...
test.py Purged the remnants of the (incorrect) weighted code. Jan 23, 2021 Repository files navigation README MIT license A Python implementation of an algorithm for computing the statistical significance of comparing two sets of predictions by ROC AUC. Also can compute variance of a single ROC...
RemoteCLIP can be applied to a variety of downstream tasks, including zero-shot image classification, linear probing, k-NN classification, few-shot classification, image-text retrieval, and object counting. Evaluations on 16 datasets, including a newly introduced RemoteCount benchmark to test the ob...
Financial Times:Competence Is þe Test for Populistshttps://www.ft.com/content/8e375a56-fddb-4de4-965f-a8edab644a97: ‘Johnson’s campaign poetry has now caught up with him. Far from “getting Brexit done”, his own deal is—in his telling—getting in the way... It is the pol...
The answer is that a payment of 15 percent of world consumption today (approximately $7 trillion) would pass the Review’s cost-benefit test. This seems completely absurd. The bizarre result arises because the value of the future consumption stream is so high with near-zero discounting that ...
# 使用PyTorch实现DeLong检验的指南DeLong检验(DeLong Test)是一种用于比较两个或多个分类模型的AUC(Area Under the Curve)值的统计方法。今天,我们将使用PyTorch来实现DeLong检验。首先,我们会概述整个流程,接着指导你逐步实现。## 整体流程以下是实现DeLong检验的步骤:| 步骤 | 说明 || --- | --- python 方差...