Run
6

Run 6

Task 119 (Supervised Classification) diabetes Uploaded 29-10-2019 by Continuous Integration
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python Sklearn_0.20.2. study_6 study_17 study_3170 study_3608 study_3994 study_3996 study_3999 study_4418 study_5311 study_8310 study_11997 study_12006 study_13178 study_17156 study_17158
Issue #Downvotes for this reason By


Flow

TESTc39fdebef9sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImpute r,classifier=sklearn.dummy.DummyClassifier)(1)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.
TESTc39fdebef9sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TESTc39fdebef9sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
TESTc39fdebef9sklearn.impute.SimpleImputer(1)_copytrue
TESTc39fdebef9sklearn.impute.SimpleImputer(1)_fill_valuenull
TESTc39fdebef9sklearn.impute.SimpleImputer(1)_missing_valuesNaN
TESTc39fdebef9sklearn.impute.SimpleImputer(1)_strategy"mean"
TESTc39fdebef9sklearn.impute.SimpleImputer(1)_verbose0
TESTc39fdebef9sklearn.dummy.DummyClassifier(1)_constantnull
TESTc39fdebef9sklearn.dummy.DummyClassifier(1)_random_state29098
TESTc39fdebef9sklearn.dummy.DummyClassifier(1)_strategy"stratified"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

0.5008
Per class
Cross-validation details (10% Holdout set)
0.5413
Per class
Cross-validation details (10% Holdout set)
0.0016
Cross-validation details (10% Holdout set)
-0.0266
Cross-validation details (10% Holdout set)
0.4545
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.5455
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.5379
Per class
Cross-validation details (10% Holdout set)
0.5455
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.9905
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.6742
Cross-validation details (10% Holdout set)
1.4009
Cross-validation details (10% Holdout set)
0.5008
Cross-validation details (10% Holdout set)