File:Elasticnetreg.png
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Summary[edit]
| Description |
English: The plot illustrates the ElasticNet regularization path for a regression problem with five features. As the regularization strength (alpha) increases, the magnitude of the feature coefficients diminishes. ElasticNet, combining L1 and L2 regularization, allows some coefficients to become exactly zero, while others shrink towards zero but remain non-zero. The log-scaled x-axis represents the strength of regularization, and the y-axis denotes the magnitude of the coefficients for each feature. |
| Date | |
| Source | Own work |
| Author | Chamaemelum |
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This chart is ineligible for copyright and therefore in the public domain, because it consists entirely of information that is common property and contains no original authorship. For more information, see Commons:Threshold of originality § Charts
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 00:30, 23 August 2023 | | 1,686 × 1,257 (196 KB) | Chamaemelum (talk | contribs) | Uploaded own work with UploadWizard |
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