清空筛选条件
清空筛选条件

How to calculate Accuracy, Recall and Precision for multi-class multi-lable Fuzzy inference system in MATLAB?

5 次查看（过去 30 天）
Muhammad
Muhammad 2016-3-22
编辑： Greg Heath 2016-3-23
I've designed a fuzzy inference system in the MATLAB using fuzzy logic toolbox. My target dataset is comprised of 100 instances and this data set is of 21 different classes. Now, I want to calculate its ARP (Accuracy, Recall and Precision) for every class which means there will be 21 different confusion matrix with 21 different ARPs.
I've seen 'plotconfusion' and 'confusionmat' functions of the MATLAB but didn't understand these function. Kindly guide me to create the confusion matrix for my system and how to calculate it in MATLAB.

请先登录，再回答此问题。

采纳的回答

Greg Heath
Greg Heath 2016-3-23
编辑：Greg Heath 2016-3-23
Use BOTH the help and doc commands on
confusion
confusionmat
plotconfusion
roc
plotroc
You can find additional classification examples by using BOTH the help and doc commands on
nndatasets
If this is not sufficient, search for each of these terms in BOTH NEWSGROUP and ANSWERS
If you still have problems, post your code with accompanying error statements
Hope this helps.
Thank you for formally accepting my answer
Greg

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Fuzzy Logic Toolbox 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by