| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.naive_bayes.GaussianNB)(2) | 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 to None. |
| sklearn.preprocessing.imputation.Imputer(54)_axis | 0 |
| sklearn.preprocessing.imputation.Imputer(54)_copy | true |
| sklearn.preprocessing.imputation.Imputer(54)_missing_values | "NaN" |
| sklearn.preprocessing.imputation.Imputer(54)_strategy | "mean" |
| sklearn.preprocessing.imputation.Imputer(54)_verbose | 0 |
| sklearn.naive_bayes.GaussianNB(21)_priors | null |
| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(2)_memory | null |
| sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(2)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputation", "step_name": "imputation"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] |
0.7008 ± 0.0492 Per class Cross-validation details (10-fold Crossvalidation)
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0.7128 ± 0.0389 Per class Cross-validation details (10-fold Crossvalidation)
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0.1502 ± 0.1172 Cross-validation details (10-fold Crossvalidation)
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0.1399 ± 0.0881 Cross-validation details (10-fold Crossvalidation)
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0.2896 ± 0.025 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.7513 ± 0.034 Cross-validation details (10-fold Crossvalidation)
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748 Per class Cross-validation details (10-fold Crossvalidation) |
0.7062 ± 0.0499 Per class Cross-validation details (10-fold Crossvalidation)
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0.7513 ± 0.034 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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0.7978 ± 0.0686 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.4302 ± 0.0337 Cross-validation details (10-fold Crossvalidation)
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1.0101 ± 0.078 Cross-validation details (10-fold Crossvalidation)
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0.5606 ± 0.0491 Cross-validation details (10-fold Crossvalidation)
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