深度学习分类基础概念对ACC、PPV、TPR、TNR 技术标签:深度学习笔记深度学习 查看原文 从混淆矩阵看各种度量 或者是正例中猜对的比例。 * 理解1:范围是0-1,猫的例子中sensitivity=4/5=0.8 * 理解2: 分母是真实正例的总数,和你的猜测值无关 * 理解3: 分子是你猜正例且猜对的次数,和...自己的见解和专一...
pi dp_p=dp_chang*(dp1+dp2) f1=(2*tp)/(2*tp+fp+fn) acc=(tp+tn)/(tp+tn+fp+fn) # print (dp0,dp1,dp_0,dp2,dp_p) return(tn,fp,fn,tp,tpr,tnr,ppv,npv,f1,acc,gm,mk,bcr,mcc,dp_p) (file,dataset,soft,biaodi,cutoff)=(sys.argv[1],sys.argv[2],sys.argv[3],sys.argv...
ROC analysis for subtypes (the TPR/TNR/ACC values were obtained at an operating point by maximizing the sum of sensitivity and specificity).doi:10.1371/journal.pone.0136557.t004Lee JoonsangNarang ShivaliM. JuanRao GaneshR. ArvindPLOS ONE
就像在文章开头提到的,让模型有“自知之明”是非常重要的,因此第一个任务就是评估模型识别OOD样本的能力,实验中使用的metric如下所示,这些metrics都是值越大越好: True negative rate (TNR) at 95% true positive rate (TPR) Area under the receiver operating ...
yqUOeBtgElM9xftqvlHdxaW87uGICtC9zIqE3tPrQTtApA7bhudstJ1Goa8EV 2dEhlHEugHXtO9DgG4EMbGp88KUnG09lHaqjcBViI9foZ/Q3KXdEeOb8AdhPkxMFWzT1PF7t7SEwRW0I y4qx0kOWsHedtUy559oMqgRfc73ZiKUaTcfmAkzZBLRCI6Yy68pl3z/cAjbfpCl024gvW94eDxYZu1tt JQmKVj9x6/q/9dzBTr4Lx+sGAFdu3Ly6i+ObWT...
68c59d7 .github api assets cli containerruntimediscovery core docs e2e installation makefile.d orchestrator plugins provider rfc scanner analyzer config converter families findingkey job_manager scanner utils go.mod go.sum testenv ui uibackend ...