| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(kneighborsclassifier=sklearn.neighbors._classific ation.KNeighborsClassifier)(1) | Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to 'passthrough' or ``None``. |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_algorithm | "auto" |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_leaf_size | 30 |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_metric | "minkowski" |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_metric_params | null |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_n_jobs | null |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_n_neighbors | 5 |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_p | 2 |
| sklearn.neighbors._classification.KNeighborsClassifier(5)_weights | "uniform" |
| sklearn.pipeline.Pipeline(kneighborsclassifier=sklearn.neighbors._classification.KNeighborsClassifier)(1)_memory | null |
| sklearn.pipeline.Pipeline(kneighborsclassifier=sklearn.neighbors._classification.KNeighborsClassifier)(1)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "kneighborsclassifier", "step_name": "kneighborsclassifier"}}] |
| sklearn.pipeline.Pipeline(kneighborsclassifier=sklearn.neighbors._classification.KNeighborsClassifier)(1)_verbose | false |
0.9873 ± 0.0225 Per class Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0355 Per class Cross-validation details (10-fold Crossvalidation)
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0.95 ± 0.0527 Cross-validation details (10-fold Crossvalidation)
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0.9338 ± 0.0379 Cross-validation details (10-fold Crossvalidation)
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0.0356 ± 0.0192 Cross-validation details (10-fold Crossvalidation)
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0.4444 Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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150 Per class Cross-validation details (10-fold Crossvalidation) |
0.9668 ± 0.0293 Per class Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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1.585 Cross-validation details (10-fold Crossvalidation)
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0.08 ± 0.0432 Cross-validation details (10-fold Crossvalidation)
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0.4714 Cross-validation details (10-fold Crossvalidation)
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0.1424 ± 0.0624 Cross-validation details (10-fold Crossvalidation)
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0.302 ± 0.1323 Cross-validation details (10-fold Crossvalidation)
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0.9667 ± 0.0351 Cross-validation details (10-fold Crossvalidation)
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