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8884929

Run 8884929

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Christian Sanders
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeli ne.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm. classes.SVC))(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C1.0
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.0
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma"auto"
sklearn.svm.classes.SVC(16)_kernel"rbf"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state24998
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_cv10
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_error_score"raise"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_fit_paramsnull
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_iidtrue
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_n_iter20
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_n_jobs1
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_param_distributions{"svm__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.expon_gen", "a": 0.0, "b": Infinity, "args": [], "kwds": {"scale": 100}}}, "svm__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.expon_gen", "a": 0.0, "b": Infinity, "args": [], "kwds": {"scale": 0.1}}}}
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_pre_dispatch"2*n_jobs"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_random_state26074
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_refittrue
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_return_train_score"warn"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_scoringnull
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))(1)_verbose0
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC)(1)_memorynull

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.

15 Evaluation measures

0.5
Per class
Cross-validation details (10-fold Crossvalidation)
707.9219 ± 0.1389
Cross-validation details (10-fold Crossvalidation)
0.0165 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
3686
Per class
Cross-validation details (10-fold Crossvalidation)
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.1231
Cross-validation details (10-fold Crossvalidation)
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
0.5045 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
0.1286 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
1.0084 ± 0.0004
Cross-validation details (10-fold Crossvalidation)