Comparing the two feature sets
I am working on a classification of two feature sets derived from a dataset. We first obtain two feature matrices derived from two feature extraction methods. Now, I need to compare them. However, the recognition accuracy for two feature sets, reaches almost the same recognition accuracy. My question is:
- Is there a way to design a meaningful experiment to show the difference between the two methods? What are your suggestions?
Topic data experiments dataset
Category Data Science