Analysis of interpreted machine learning methods for predicting the execution of government contracts in the field of electric power
The power industry plays a key role in ensuring the energy security of the state. Sustainable and reliable functioning of the energy system requires the fulfillment of contracts with strictly observed deadlines and quality of work. This article describes an algorithm for selecting methods for interp...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/97/e3sconf_bft2023_07001.pdf |