Run
10456116

Run 10456116

Task 9914 (Supervised Classification) wilt Uploaded 19-05-2020 by Marc Zöller
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  • automl_meta_features openml-python Sklearn_0.22.1.
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Flow

sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(esti mator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn. discriminant_analysis.LinearDiscriminantAnalysis)(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``.
sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_algorithm"SAMME.R"
sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_base_estimatornull
sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_learning_rate1.2672377682357955e-06
sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_n_estimators676
sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_random_state42
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_n_components379
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_priorsnull
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_shrinkage0.946360582987438
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_solver"lsqr"
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_store_covariancefalse
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_tol0.9879632668492742
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)_memorynull
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}]
sklearn.pipeline.Pipeline(step_0=automl.util.sklearn.StackingEstimator(estimator=sklearn.ensemble._weight_boosting.AdaBoostClassifier),step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)_verbosefalse

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

0.6803 ± 0.0406
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.6250.650.6750.70.7250.750.…0.775
0.8871 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.870.880.890.90.910.92
0.0688 ± 0.0575
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore0-0.0500.050.10.150.2
-2.1868 ± 0.1692
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore0-2.5-2.4-2.3-2.2-2.1-2-1.9-1.8
0.1675 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.140.150.160.170.180.19
0.1022 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.10150.1020.10250.1030.10350.1…0.104
0.8706 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.850.860.870.880.890.90.91
4839
Per class
Cross-validation details (10-fold Crossvalidation)
0.9057 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.8950.90.9050.910.915
0.8706 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.850.860.870.880.890.90.91
0.3029 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.30.3020.3040.3060.3080.310.…0.312
1.6381 ± 0.1077
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore01.41.51.61.71.8
0.2259 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.2250.2260.2270.2280.2290.23
0.3141 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.270.280.290.30.310.320.330.…0.34
1.3906 ± 0.078
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore01.21.251.31.351.41.451.51.…1.55
0.5468 ± 0.0359
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.50.60.4750.5250.550.575
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