[英]How to load already computed confusion matrix to be used with the caret package in R
I have trained a Random Forest classifier ( randomForest
package) and it returns also the confusion matrix. 我已经训练了一个随机森林分类器(
randomForest
包),它也返回混淆矩阵。
I want to compute sensitivity and specificity for each class, so I decided to load the confusion matrix with the caret
package. 我想计算每个班级的敏感性和特异性,因此我决定使用
caret
包加载混淆矩阵。 However I did not find how to load it. 但是我没有找到如何加载它。 How can I achieve it?
我该如何实现?
Thanks to Sowmya's comments, I achieve it by using the following code: 感谢Sowmya的评论,我通过使用以下代码实现了它:
library(caret)
confusionMatrix(clf$predicted, labels)
where clf
is the result of the execution of randomForest()
call, while labels
is the lists of reference labels of the output variable. 其中
clf
是执行randomForest()
调用的结果,而labels
是输出变量的参考标签的列表。
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