| Issue | #Downvotes for this reason | By |
|---|
| 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"}}] |
0.9671 ± 0.0033 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5566 ± 0.0124 Per class Cross-validation details (10-fold Crossvalidation)
|
0.2649 ± 0.0148 Cross-validation details (10-fold Crossvalidation)
|
0.2126 ± 0.0171 Cross-validation details (10-fold Crossvalidation)
|
0.3839 ± 0.0083 Cross-validation details (10-fold Crossvalidation)
|
0.4935 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.6042 ± 0.0087 Cross-validation details (10-fold Crossvalidation)
|
11055 Per class Cross-validation details (10-fold Crossvalidation) |
0.7888 ± 0.0041 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6042 ± 0.0087 Cross-validation details (10-fold Crossvalidation)
|
0.9906 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
|
0.778 ± 0.0168 Cross-validation details (10-fold Crossvalidation)
|
0.4967 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.6033 ± 0.0067 Cross-validation details (10-fold Crossvalidation)
|
1.2146 ± 0.0135 Cross-validation details (10-fold Crossvalidation)
|
0.6445 ± 0.0079 Cross-validation details (10-fold Crossvalidation)
|