| Issue | #Downvotes for this reason | By |
|---|
| 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 |
0.8412 ± 0.037 Per class Cross-validation details (10-fold Crossvalidation)
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0.91 ± 0.0089 Per class Cross-validation details (10-fold Crossvalidation)
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0.3034 ± 0.0606 Cross-validation details (10-fold Crossvalidation)
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-2.7205 ± 0.2496 Cross-validation details (10-fold Crossvalidation)
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0.1728 ± 0.0104 Cross-validation details (10-fold Crossvalidation)
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0.1022 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.893 ± 0.0114 Cross-validation details (10-fold Crossvalidation)
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4839 Per class Cross-validation details (10-fold Crossvalidation) |
0.934 ± 0.0072 Per class Cross-validation details (10-fold Crossvalidation)
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0.893 ± 0.0114 Cross-validation details (10-fold Crossvalidation)
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0.3029 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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1.6906 ± 0.1042 Cross-validation details (10-fold Crossvalidation)
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0.2259 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.2752 ± 0.0124 Cross-validation details (10-fold Crossvalidation)
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1.2184 ± 0.0569 Cross-validation details (10-fold Crossvalidation)
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0.7285 ± 0.0437 Cross-validation details (10-fold Crossvalidation)
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