Cleansing of inconsistent sample in linear regression model based on rough sets theory
The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reli...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8595/1/J15770_be8201f8b61aa5ded65f238b957b8cf5.pdf http://eprints.uthm.edu.my/8595/ https://doi.org/10.1016/j.sasc.2022.200046 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|