Evaluate classifikator with new data set

Hey everybody,
I am trying to train a simple classificator . Because of the structure of my data (there are far more samples of one group and less of another) I decided to make a training sample in which the data is more balanced. I would really like to train my classificator with the training data and the evaluate it with other data. Is there a way to get all the graphs like to confusion matrix when the model is already trained ?
Thanks in advance!

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도움말 센터File Exchange에서 Deep Learning Toolbox에 대해 자세히 알아보기

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릴리스

R2018b

질문:

2019년 4월 20일

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