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Calculating different weights in feature values in logistic regression
- Authors
- Lee, C.-H.
- Issue Date
- 26-Nov-2016
- Publisher
- Association for Computing Machinery
- Keywords
- Classification; Feature Weighting; Logistic Regression
- Citation
- ACM International Conference Proceeding Series, pp 148 - 150
- Pages
- 3
- Indexed
- SCOPUS
- Journal Title
- ACM International Conference Proceeding Series
- Start Page
- 148
- End Page
- 150
- Abstract
- In traditional logistic regression model, every value of feature has the same weight. In this paper, we propose a new weighting method for logistic regression, which assigns a different weight to each feature value. A gradient approach is used to calculate the optimal weights of feature values. © 2016 ACM.
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