Machine Learning , Data Mining studies uses various data sets. If used data sets are not well known data sets, following points of these data sets should be explained. More can be added but these points comes to my mind immediately.
features/attributes (number, data type, domain definition)
How many instances exists in this data set?
Test / Training data (Random Sampling, All data used..)
Feature Reduction techniques
Any preprocessing/post processing
Thus my question is: Where should I put this data set explanation in article sections?
- Methods (Experiments)
- Or entirely new section under Data Set heading?