| 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 |
0.9961 ± 0.0011 Per class Cross-validation details (10-fold Crossvalidation)
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0.9353 ± 0.014 Per class Cross-validation details (10-fold Crossvalidation)
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0.9278 ± 0.0155 Cross-validation details (10-fold Crossvalidation)
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0.9355 ± 0.0134 Cross-validation details (10-fold Crossvalidation)
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0.0136 ± 0.0026 Cross-validation details (10-fold Crossvalidation)
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0.18 Cross-validation details (10-fold Crossvalidation)
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0.935 ± 0.0139 Cross-validation details (10-fold Crossvalidation)
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2000 Per class Cross-validation details (10-fold Crossvalidation) |
0.9371 ± 0.0128 Per class Cross-validation details (10-fold Crossvalidation)
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0.935 ± 0.0139 Cross-validation details (10-fold Crossvalidation)
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3.3219 Cross-validation details (10-fold Crossvalidation)
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0.0757 ± 0.0145 Cross-validation details (10-fold Crossvalidation)
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0.3 Cross-validation details (10-fold Crossvalidation)
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0.1056 ± 0.0111 Cross-validation details (10-fold Crossvalidation)
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0.3519 ± 0.0371 Cross-validation details (10-fold Crossvalidation)
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0.935 ± 0.0139 Cross-validation details (10-fold Crossvalidation)
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