Anyone help me please, How to use Classification Learner App to calculate accuracy rates on training set, and on test set??

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saeeda saher
saeeda saher 2018-6-14
评论： kanuparthi bhagyasree 2019-4-27
I am using classification Learner App on my dataset. My dataset has two sets, Training set and Test set these sets are separate files, I have trained the training dataset using Classification learner and exported the model, now I am not getting how to evaluate this trained model on the test set, to check the accuracy on the test set too. Please help.

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Von Duesenberg
Von Duesenberg 2018-6-14
It's all explained here: https://fr.mathworks.com/help/stats/export-classification-model-for-use-with-new-data.html Basically, if your trained model is called trainedModel, then use the predictFcn property on new data, eg.:
Y = trainedModel.predictFcn(newData)
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Von Duesenberg
Von Duesenberg 2018-6-14
编辑：Von Duesenberg 2018-6-14
These are the predicted labels, you want now to use confusionmat or plotconfusion with true labels and predicted labels as arguments.
kanuparthi bhagyasree
kanuparthi bhagyasree 2019-4-27
Dear Saeeda saher,
I am also facing the same issue, I got the predicted labels but now I wanted to find the accuracy and confusion matrix for the test data.
How to do that?
Please help me.

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