Run
9201619

Run 9201619

Task 31 (Supervised Classification) credit-g Uploaded 11-05-2018 by Jeroen van Hoof
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Flow

autosklearnwrapper.wrapper.AutoSklearnWrapper(estimator=autosklearn.estimat ors.AutoSklearnClassifier)(1)Automatically created scikit-learn flow.
autosklearn.estimators.AutoSklearnClassifier(1)_delete_output_folder_after_terminatetrue
autosklearn.estimators.AutoSklearnClassifier(1)_delete_tmp_folder_after_terminatetrue
autosklearn.estimators.AutoSklearnClassifier(1)_disable_evaluator_outputfalse
autosklearn.estimators.AutoSklearnClassifier(1)_ensemble_nbest50
autosklearn.estimators.AutoSklearnClassifier(1)_ensemble_size50
autosklearn.estimators.AutoSklearnClassifier(1)_exclude_estimatorsnull
autosklearn.estimators.AutoSklearnClassifier(1)_exclude_preprocessorsnull
autosklearn.estimators.AutoSklearnClassifier(1)_get_smac_object_callbacknull
autosklearn.estimators.AutoSklearnClassifier(1)_include_estimatorsnull
autosklearn.estimators.AutoSklearnClassifier(1)_include_preprocessorsnull
autosklearn.estimators.AutoSklearnClassifier(1)_initial_configurations_via_metalearning25
autosklearn.estimators.AutoSklearnClassifier(1)_ml_memory_limit3072
autosklearn.estimators.AutoSklearnClassifier(1)_output_foldernull
autosklearn.estimators.AutoSklearnClassifier(1)_per_run_time_limit12
autosklearn.estimators.AutoSklearnClassifier(1)_resampling_strategy"holdout"
autosklearn.estimators.AutoSklearnClassifier(1)_resampling_strategy_argumentsnull
autosklearn.estimators.AutoSklearnClassifier(1)_seed1
autosklearn.estimators.AutoSklearnClassifier(1)_shared_modefalse
autosklearn.estimators.AutoSklearnClassifier(1)_smac_scenario_argsnull
autosklearn.estimators.AutoSklearnClassifier(1)_time_left_for_this_task36
autosklearn.estimators.AutoSklearnClassifier(1)_tmp_foldernull
autosklearnwrapper.wrapper.AutoSklearnWrapper(estimator=autosklearn.estimators.AutoSklearnClassifier)(1)_refittrue
autosklearnwrapper.wrapper.AutoSklearnWrapper(estimator=autosklearn.estimators.AutoSklearnClassifier)(1)_retry_on_errortrue
autosklearnwrapper.wrapper.AutoSklearnWrapper(estimator=autosklearn.estimators.AutoSklearnClassifier)(1)_verbose0

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.6838 ± 0.0629
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7557 ± 0.0454
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3996 ± 0.1166
Cross-validation details (10-fold Crossvalidation)
KB relative information score
407.3457 ± 9.6848
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.232 ± 0.0379
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7562 ± 0.0438
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.768 ± 0.0379
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.768 ± 0.0379
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5522 ± 0.0903
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4817 ± 0.0403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0511 ± 0.088
Cross-validation details (10-fold Crossvalidation)