Evaluate a hybrid deep learning model

2 次查看（过去 30 天）
Juliana Qiu Ann Ho
Juliana Qiu Ann Ho 2020-2-18
回答： Sai Bhargav Avula 2020-3-26
Hi, I'm currently doing a project using CNN as features extractor and train an SVM to classify the features extracted. The confusion I'm currently having now is I do not know how to determine whether the model is undertraining, overtraining or having generalisation problem. The example i was referring uses confusion matrix to evaluate the classifier but is that sufficient to tell the user that the model is accurate and it does not have the problems mentioned? Is there any other ways to validate the model?

请先登录，再回答此问题。

采纳的回答

Sai Bhargav Avula
Sai Bhargav Avula 2020-3-26
Hi,
A confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. Using this you can evaluate the accuracy, precision and recall which are the metrics for any classification model.
Hope this helps!

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Pattern Recognition and Classification 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by