| 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 |
0.8464 ± 0.0199 Per class Cross-validation details (10-fold Crossvalidation)
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0.8705 ± 0.0122 Per class Cross-validation details (10-fold Crossvalidation)
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0.4623 ± 0.0467 Cross-validation details (10-fold Crossvalidation)
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0.1897 ± 0.0583 Cross-validation details (10-fold Crossvalidation)
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0.1683 ± 0.011 Cross-validation details (10-fold Crossvalidation)
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0.2429 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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0.8716 ± 0.0133 Cross-validation details (10-fold Crossvalidation)
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5000 Per class Cross-validation details (10-fold Crossvalidation) |
0.8695 ± 0.0118 Per class Cross-validation details (10-fold Crossvalidation)
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0.8716 ± 0.0133 Cross-validation details (10-fold Crossvalidation)
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0.5879 ± 0.0025 Cross-validation details (10-fold Crossvalidation)
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0.693 ± 0.0452 Cross-validation details (10-fold Crossvalidation)
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0.3484 ± 0.001 Cross-validation details (10-fold Crossvalidation)
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0.3212 ± 0.0152 Cross-validation details (10-fold Crossvalidation)
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0.922 ± 0.0431 Cross-validation details (10-fold Crossvalidation)
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0.7273 ± 0.0228 Cross-validation details (10-fold Crossvalidation)
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