📄 confmat.htm
字号:
<html><head><title>Netlab Reference Manual confmat</title></head><body><H1> confmat</H1><h2>Purpose</h2>Compute a confusion matrix.<p><h2>Synopsis</h2><PRE>[C, rate] = confmat(y, t)</PRE><p><h2>Description</h2><CODE>[C, rate] = confmat(y, t)</CODE> computes the confusion matrix <CODE>C</CODE>and classification performance <CODE>rate</CODE> for the predictions mat{y}compared with the targets <CODE>t</CODE>. The data is assumed to be in a1-of-N encoding, unless there is just one column, when it is assumed tobe a 2 class problem with a 0-1 encoding. Each row of <CODE>y</CODE> and <CODE>t</CODE>corresponds to a single example.<p>In the confusion matrix, the rows represent the true classes and the columns the predicted classes. The vector <CODE>rate</CODE> has two entries:the percentage of correct classifications and the total number ofcorrect classifications.<p><h2>See Also</h2><CODE><a href="conffig.htm">conffig</a></CODE>, <CODE><a href="demtrain.htm">demtrain</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -