top-5 error rate:模型训练前设定了很多类别,模型训练后样本被划分到每个类别都有一定的概率,取概率最大的5个类别,即top5,只要有一个是符合样本的类别就算对,反之就算预测失败,用预测失败的样本数量比上总数就是top-5 error rate。 top-1 error rate:只取概率最大的那1个类别,即top1,其他条件同上。 ———...
通俗的讲,所谓Top-1 error-rate就是使用预测结果和正确结果进行对比,如果相同则表示预测正确! 相比而言,Top-5 error-rate 就是使用预测结果的Top-5(分类结果标签的前五个)与正确结果进行对比,如果五个之中有一个正确那么就认为分类器预测结果正确。 一般来说,Top-1和Top-5错误率越低,模型的性能也就越好。且...
则分类错误。对错误数进行统计。错误样本数除以总样本数，即 top-5 error rate.
塔上的樹 https://stats.stackexchange.com/questions/156471/imagenet-what-is-top-1-and-top-5-error-rate Your classifier gives you a probability for each class. Lets say we had only "cat", "dog", "house", "mouse" as classes (in this order). Then the classifier gives somehting like 0...
2)错误率(error rate) 错误率则与正确率相反,描述被分类器错分的比例,error rate = (FP+FN)/(P+N),对某一个实例来说,分对与分错是互斥事件,所以accuracy =1 - error rate; 3)灵敏度(sensitive) sensitive = TP/P,表示的是所有正例中被分对的比例,衡量了分类器对正例的识别能力; ...
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