WisdomModel: convert data into wisdom
Purpose – Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper presents the development of a wisdom framework that reduces the error rate to less than 3% without human interventi...
Saved in:
Main Authors: | Israa Mahmood, Hasanen Abdullah |
---|---|
Format: | Article |
Language: | English |
Published: |
Emerald Publishing
2025-01-01
|
Series: | Applied Computing and Informatics |
Subjects: | |
Online Access: | https://www.emerald.com/insight/content/doi/10.1108/ACI-06-2021-0155/full/pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Local wisdom tradition of maintenance of the upstream river
by: Ine Kusuma Aryani, et al.
Published: (2024-06-01) -
Artificial intelligence, truth and wisdom: A Franciscan perspective
by: Martín Carbajo-Núñez OFM
Published: (2024-07-01) -
Historical Analysis and Adaptation of the Issue of Good and Evil in Iranian, Ishraqi, and Sadrai Wisdom
by: Somayeh Karimi, et al.
Published: (2024-05-01) -
PRAYER IN THE OLD TESTAMENT AS SPIRITUAL WISDOM FOR TODAY
by: C Lombaard
Published: (2018-06-01) -
Stakeholder diversity matters: employing the wisdom of crowds for data-poor fisheries assessments
by: Benjamin L. H. Jones, et al.
Published: (2025-01-01)