Hi there,

In WEKA experiment, it can be configured to output the Prediction/Target together with IDs. However, the IDs field can only be set to one of Attributes in the dataset. This is not useful because the ID field in the dataset is usually removed before using it to train a classifier. Otherwise, including a ID field in the training data would most likely affect the classifier's performance. I think it's better off to have a ID field in Instance class, like:

protected String m_ID;

In this way, we separate the ID from the rest of fields which are used in training / testing process. And the output from WEKA experiment (Prediction/Target/ID) make more sense. What's your opinion?

Thanks for your effort to maintain this very nice forum.

--Haiyong Xu