Run
31962

Run 31962

Task 119 (Supervised Classification) diabetes Uploaded 30-03-2021 by Continuous Integration
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Flow

TEST0eb2a2dccdsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.Simple Imputer,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 it to 'passthrough' or ``None``.
TEST0eb2a2dccdsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST0eb2a2dccdsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.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"}}]
TEST0eb2a2dccdsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_copytrue
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST0eb2a2dccdsklearn.impute._base.SimpleImputer(1)_verbose0
TEST0eb2a2dccdsklearn.dummy.DummyClassifier(1)_constantnull
TEST0eb2a2dccdsklearn.dummy.DummyClassifier(1)_random_state54387
TEST0eb2a2dccdsklearn.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

0.5186
Per class
Cross-validation details (10% Holdout set)
0.5539
Per class
Cross-validation details (10% Holdout set)
0.0372
Cross-validation details (10% Holdout set)
-0.0088
Cross-validation details (10% Holdout set)
0.4466
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.5534
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.5544
Per class
Cross-validation details (10% Holdout set)
0.5534
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.9733
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.6683
Cross-validation details (10% Holdout set)
1.3887
Cross-validation details (10% Holdout set)
0.5186
Cross-validation details (10% Holdout set)