sklearn.model_selection
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sklearn.model_selection has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
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| Rdf:type | Library Import | [1] |
| Rdf:type | Import Statement | [2] |
| Rdf:type | Python Import | [3] |
| Has Package Name | sklearn.model_selection | [3] |
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References (3)
ctx:claims/beam/1b7907ef-c385-4c48-be99-c59a88201518- full textbeam-chunktext/plain1 KB
doc:beam/1b7907ef-c385-4c48-be99-c59a88201518Show excerpt
- The `allowed_exceptions` parameter allows you to specify which exceptions should trigger a retry. By default, it catches all exceptions, but you can customize it to catch only specific exceptions like `MetricCalcError`. - The `time.sleep`…
ctx:claims/beam/beb742f8-25a0-480f-b6f9-2a52ea537dbe- full textbeam-chunktext/plain1 KB
doc:beam/beb742f8-25a0-480f-b6f9-2a52ea537dbeShow excerpt
Use weighted sampling techniques to ensure that each sample is representative of the overall distribution. This can help in reducing the impact of skewed data. #### b. **Stratified Sampling** Implement stratified sampling to ensure that ea…
ctx:claims/beam/42084a70-f90e-4de3-9339-1a01e0afa60e
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