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!

回答 (0 件)

カテゴリ

ヘルプ センター および File ExchangeStatistics and Machine Learning Toolbox についてさらに検索

製品

リリース

R2018b

質問済み:

2019 年 4 月 20 日

Community Treasure Hunt

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

Start Hunting!

Translated by