10折交叉验证的混淆矩阵 [英] Confusion matrix of 10 fold cross validation

问题描述

我正在尝试执行 10 折交叉验证，以在 matlab 中使用神经网络分析我的字符识别项目的结果.我知道如何计算每个折叠的混淆矩阵.但问题是我不知道如何计算平均 10 倍的混淆矩阵.

I am trying to perform 10 fold cross validation for analysing the results of my character recognition project using neural networks in matlab. I know how to calculate the confusion matrix for each fold. But the problem is i dont know how to calculate the confusion matrix averaged over the 10 folds.

推荐答案

如果你有每个折叠的混淆矩阵，你可以简单地将它们的值相加得到总混淆矩阵.

If you have the confusion matrices for each fold, you can simply sum their values to get the total confusion matrix.

例如，如果你有两个折叠，结果混淆矩阵是

For example, if you had two folds,and the resulting confusion matrices were

                     Classifier
                 -----------------
                 Class 1   Class 2
Actual | Class 1      25         3
       | Class 2       6        21

                     Classifier
                 -----------------
                 Class 1   Class 2
Actual | Class 1      23         5
       | Class 2       4        23

那么总混淆矩阵为

                     Classifier
                 -----------------
                 Class 1   Class 2
Actual | Class 1      48         8
       | Class 2      10        44

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