Articles
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Example for recall, precision, acc
Because time is limited, this is a Chinese article
本文介绍机器学习里面几个难懂的概念:召回率、精确率、准确率、F-Score、漏检率、虚检率
由于实习的关系,我先用医疗背景解释这个问题,肿瘤病人设为1,正常人设为0 首先明确几个变量:
TP:真阳性,有肿瘤的人1被预测为1
FN:假阴性,有肿瘤的病人1被预测为0,这个比较可怕
TN:真阴性,没肿瘤的人0被预测为0
FP:假阳性,没肿瘤的人0被预测为1
有肿瘤的病人也就是1的总数为P=TP+FN,正常人的总数为N=TN+FP -
Firstblog
My first Blog
Hi, I’m Lui Yi. A geek likes making anything fantastic. Welcome to my blog. I’m trying to learn how to use Github. I appreciate the author in Jekyll gave me the excellent blog template.