Run
31690

Run 31690

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

TEST6a5896812asklearn.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``.
TEST6a5896812asklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST6a5896812asklearn.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"}}]
TEST6a5896812asklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_copytrue
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST6a5896812asklearn.impute._base.SimpleImputer(1)_verbose0
TEST6a5896812asklearn.dummy.DummyClassifier(1)_constantnull
TEST6a5896812asklearn.dummy.DummyClassifier(1)_random_state11371
TEST6a5896812asklearn.dummy.DummyClassifier(1)_strategy"warn"

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

0.4053
Per class
Cross-validation details (10% Holdout set)
0.4499
Per class
Cross-validation details (10% Holdout set)
-0.1899
Cross-validation details (10% Holdout set)
-0.2409
Cross-validation details (10% Holdout set)
0.5494
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.4506
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.4493
Per class
Cross-validation details (10% Holdout set)
0.4506
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
1.1972
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.7412
Cross-validation details (10% Holdout set)
1.5402
Cross-validation details (10% Holdout set)
0.4053
Cross-validation details (10% Holdout set)