Granular Computing Based Machine Learning by Han Liu & Mihaela Cocea

Author:Han Liu & Mihaela Cocea
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

2.Step 2: Each class subset is partitioned into a training subset and a test subset. In particular, for the positive class, the size of the training subset is mpq and the size of the test subset is . Similarly, for the negative class, the size of the training subset is and the size of the test subset is .

3.Step 3: The two training subsets resulting from Step 2 are merged into a whole training set and the frequency distribution between the positive and negative classes is , which is equivalent to , i.e. the original class distribution.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.