Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01GMAZ18TNJCZV7DCSGFWRVM11> ?p ?o. }
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- 01GMAZ18TNJCZV7DCSGFWRVM11 classification P1.
- 01GMAZ18TNJCZV7DCSGFWRVM11 date "2023".
- 01GMAZ18TNJCZV7DCSGFWRVM11 language "eng".
- 01GMAZ18TNJCZV7DCSGFWRVM11 type conference.
- 01GMAZ18TNJCZV7DCSGFWRVM11 hasPart 01GMAZE9GF29AX287YMKJKY5Z3.pdf.
- 01GMAZ18TNJCZV7DCSGFWRVM11 hasPart 01GW6THDF3ESDNTZ5BR6W8F607.pdf.
- 01GMAZ18TNJCZV7DCSGFWRVM11 hasPart 01GW6TNSX6WGG3DRVG0PK5ADH2.pdf.
- 01GMAZ18TNJCZV7DCSGFWRVM11 hasPart urn:uuid:8ff1af21-661e-439d-ae0d-6cef08f74ba4.
- 01GMAZ18TNJCZV7DCSGFWRVM11 hasPart urn:uuid:e18c5f87-98fc-43d7-ad9f-bbfc6099a9ea.
- 01GMAZ18TNJCZV7DCSGFWRVM11 subject "Technology and Engineering".
- 01GMAZ18TNJCZV7DCSGFWRVM11 doi "10.1007/978-3-031-26387-3_5".
- 01GMAZ18TNJCZV7DCSGFWRVM11 isbn "9783031263866".
- 01GMAZ18TNJCZV7DCSGFWRVM11 isbn "9783031263873".
- 01GMAZ18TNJCZV7DCSGFWRVM11 issn "1611-3349".
- 01GMAZ18TNJCZV7DCSGFWRVM11 issn "2945-9133".
- 01GMAZ18TNJCZV7DCSGFWRVM11 presentedAt urn:uuid:c0eec8cf-deb9-4f6b-a93d-d5836e090243.
- 01GMAZ18TNJCZV7DCSGFWRVM11 volume "13713".
- 01GMAZ18TNJCZV7DCSGFWRVM11 abstract "Feature selection is a crucial step in developing robust and powerful machine learning models. Feature selection techniques can be divided into two categories: filter and wrapper methods. While wrapper methods commonly result in strong predictive performances, they suffer from a large computational complexity and therefore take a significant amount of time to complete, especially when dealing with high-dimensional feature sets. Alternatively, filter methods are considerably faster, but suffer from several other disadvantages, such as (i) requiring a threshold value, (ii) not taking into account intercorrelation between features, and (iii) ignoring feature interactions with the model. To this end, we present powershap, a novel wrapper feature selection method, which leverages statistical hypothesis testing and power calculations in combination with Shapley values for quick and intuitive feature selection. Powershap is built on the core assumption that an informative feature will have a larger impact on the prediction compared to a known random feature. Benchmarks and simulations show that powershap outperforms other filter methods with predictive performances on par with wrapper methods while being significantly faster, often even reaching half or a third of the execution time. As such, powershap provides a competitive and quick algorithm that can be used by various models in different domains. Furthermore, powershap is implemented as a plug-and-play and open-source sklearn component, enabling easy integration in conventional data science pipelines. User experience is even further enhanced by also providing an automatic mode that automatically tunes the hyper-parameters of the powershap algorithm, allowing to use the algorithm without any configuration needed. ".
- 01GMAZ18TNJCZV7DCSGFWRVM11 author 0a4ff2ca-e97a-11ea-941f-d0399d38aec8.
- 01GMAZ18TNJCZV7DCSGFWRVM11 author 6E490020-2C06-11E5-A153-B806B5D1D7B1.
- 01GMAZ18TNJCZV7DCSGFWRVM11 author F6BA63F6-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GMAZ18TNJCZV7DCSGFWRVM11 author F8FFCA84-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GMAZ18TNJCZV7DCSGFWRVM11 dateCreated "2022-12-15T13:19:30Z".
- 01GMAZ18TNJCZV7DCSGFWRVM11 dateModified "2024-09-13T13:58:18Z".
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:6e85d7bb-0dc3-4fe2-a18b-87d7f4517404.
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:6f34c338-cde5-4755-9d48-926d8b5f7c1d.
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:9988e4e0-f621-4ae7-8b1e-6768ba9e1775.
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:a299cdf1-0116-4311-8236-937ed9078866.
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:aa4aad98-be4e-42bd-8a9e-08d8ebafbc2f.
- 01GMAZ18TNJCZV7DCSGFWRVM11 editor urn:uuid:bac53686-f68a-4bab-b994-a9183edd4d37.
- 01GMAZ18TNJCZV7DCSGFWRVM11 name "Powershap : a power-full shapley feature selection method".
- 01GMAZ18TNJCZV7DCSGFWRVM11 pagination urn:uuid:57023bf1-57e9-4c1b-87f2-1009d04a635d.
- 01GMAZ18TNJCZV7DCSGFWRVM11 publisher urn:uuid:607a93c2-2142-4cf6-86c2-890f08d5b9bd.
- 01GMAZ18TNJCZV7DCSGFWRVM11 sameAs LU-01GMAZ18TNJCZV7DCSGFWRVM11.
- 01GMAZ18TNJCZV7DCSGFWRVM11 sourceOrganization urn:uuid:3c5dc1b7-5de3-4a23-af06-a61425c2faeb.
- 01GMAZ18TNJCZV7DCSGFWRVM11 sourceOrganization urn:uuid:7a0baad2-e79d-4bd0-a5b1-c981eab4e3e3.
- 01GMAZ18TNJCZV7DCSGFWRVM11 sourceOrganization urn:uuid:ae2dd638-05c7-4139-819f-ce139d6f723e.
- 01GMAZ18TNJCZV7DCSGFWRVM11 type P1.