Embedded feature selection methods with high dimensionality for elastic net and logistic regression models
Feature selection and classification in high-dimensional data is a challenging problem in scientific research such as biology, medicine, and finance. In such data, highly correlated features and missing data often exist. Therefore, selecting informative features and adequate handling of missing valu...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/102313/1/AiedhMrisiAlharthiPFS2022.pdf.pdf |
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