| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.I mputer,learner=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 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(52)_axis | 0 |
| sklearn.preprocessing.imputation.Imputer(52)_copy | true |
| sklearn.preprocessing.imputation.Imputer(52)_missing_values | "NaN" |
| sklearn.preprocessing.imputation.Imputer(52)_strategy | "median" |
| sklearn.preprocessing.imputation.Imputer(52)_verbose | 0 |
| sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.Imputer,learner=sklearn.naive_bayes.GaussianNB)(2)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "Median-Imputer", "step_name": "Median-Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "learner", "step_name": "learner"}}] |
| sklearn.naive_bayes.GaussianNB(20)_priors | null |
0.952 ± 0.0744 Per class Cross-validation details (10-fold Crossvalidation)
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0.9369 ± 0.0212 Per class Cross-validation details (10-fold Crossvalidation)
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0.5427 ± 0.1608 Cross-validation details (10-fold Crossvalidation)
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0.3701 ± 0.1761 Cross-validation details (10-fold Crossvalidation)
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0.0773 ± 0.0124 Cross-validation details (10-fold Crossvalidation)
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0.1571 ± 0.0079 Cross-validation details (10-fold Crossvalidation)
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0.9463 ± 0.0162 Cross-validation details (10-fold Crossvalidation)
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540 Per class Cross-validation details (10-fold Crossvalidation) |
0.9443 ± 0.0176 Per class Cross-validation details (10-fold Crossvalidation)
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0.9463 ± 0.0162 Cross-validation details (10-fold Crossvalidation)
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0.4202 ± 0.0325 Cross-validation details (10-fold Crossvalidation)
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0.492 ± 0.0828 Cross-validation details (10-fold Crossvalidation)
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0.2792 ± 0.0143 Cross-validation details (10-fold Crossvalidation)
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0.1967 ± 0.0273 Cross-validation details (10-fold Crossvalidation)
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0.7048 ± 0.1086 Cross-validation details (10-fold Crossvalidation)
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0.7045 ± 0.0852 Cross-validation details (10-fold Crossvalidation)
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