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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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
2018년 6월 14일
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
2018년 6월 14일
편집: Von Duesenberg
2018년 6월 14일
These are the predicted labels, you want now to use confusionmat or plotconfusion with true labels and predicted labels as arguments.
kanuparthi bhagyasree
2019년 4월 27일
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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