Run
4091

Run 4091

Task 119 (Supervised Classification) diabetes Uploaded 05-11-2019 by Continuous Integration
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Flow

TEST55c51cc42dsklearn.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 to None.
TEST55c51cc42dsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TEST55c51cc42dsklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"step_name": "imputer", "key": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "classifier", "key": "classifier"}}]
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_copytrue
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_fill_valuenull
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_strategy"mean"
TEST55c51cc42dsklearn.impute._base.SimpleImputer(1)_verbose0
TEST55c51cc42dsklearn.dummy.DummyClassifier(1)_constantnull
TEST55c51cc42dsklearn.dummy.DummyClassifier(1)_random_state38373
TEST55c51cc42dsklearn.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

0.4953
Per class
Cross-validation details (10% Holdout set)
0.5312
Per class
Cross-validation details (10% Holdout set)
-0.0093
Cross-validation details (10% Holdout set)
-0.0623
Cross-validation details (10% Holdout set)
0.4704
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.5296
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.5329
Per class
Cross-validation details (10% Holdout set)
0.5296
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
1.0249
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.6858
Cross-validation details (10% Holdout set)
1.4251
Cross-validation details (10% Holdout set)
0.4953
Cross-validation details (10% Holdout set)