Run
31991

Run 31991

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

TESTfd24aab308sklearn.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``.
TESTfd24aab308sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memorynull
TESTfd24aab308sklearn.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"}}]
TESTfd24aab308sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbosefalse
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_copytrue
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_fill_valuenull
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_strategy"mean"
TESTfd24aab308sklearn.impute._base.SimpleImputer(1)_verbose0
TESTfd24aab308sklearn.dummy.DummyClassifier(1)_constantnull
TESTfd24aab308sklearn.dummy.DummyClassifier(1)_random_state23514
TESTfd24aab308sklearn.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

0.486
Per class
Cross-validation details (10% Holdout set)
0.5305
Per class
Cross-validation details (10% Holdout set)
-0.029
Cross-validation details (10% Holdout set)
-0.0356
Cross-validation details (10% Holdout set)
0.4585
Cross-validation details (10% Holdout set)
0.4589
Cross-validation details (10% Holdout set)
0.5415
Cross-validation details (10% Holdout set)
253
Per class
Cross-validation details (10% Holdout set)
0.5235
Per class
Cross-validation details (10% Holdout set)
0.5415
Cross-validation details (10% Holdout set)
0.9463
Cross-validation details (10% Holdout set)
0.9991
Cross-validation details (10% Holdout set)
0.4813
Cross-validation details (10% Holdout set)
0.6771
Cross-validation details (10% Holdout set)
1.407
Cross-validation details (10% Holdout set)
0.486
Cross-validation details (10% Holdout set)