Run
31871

Run 31871

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

TESTa01cf00ea5sklearn.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``.
TESTa01cf00ea5sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TESTa01cf00ea5sklearn.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"}}]
TESTa01cf00ea5sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_copytrue
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TESTa01cf00ea5sklearn.impute._base.SimpleImputer(1)_verbose0
TESTa01cf00ea5sklearn.dummy.DummyClassifier(1)_constantnull
TESTa01cf00ea5sklearn.dummy.DummyClassifier(1)_random_state47170
TESTa01cf00ea5sklearn.dummy.DummyClassifier(1)_strategy"prior"

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.

16 Evaluation measures

0.5
Per class
Cross-validation details (10% Holdout set)
0.0048
Cross-validation details (10% Holdout set)
0.4568
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.6364
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.6364
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.9955
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.4815
Cross-validation details (10% Holdout set)
1.0006
Cross-validation details (10% Holdout set)
0.5
Cross-validation details (10% Holdout set)