Run
8885710

Run 8885710

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Robin Vink
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Flow

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes. SVC)(2)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_state35162
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_cvnull
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_error_score"raise"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_fit_paramsnull
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_iidtrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_n_jobs1
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_param_grid{"C": [0.01], "gamma": [0.01]}
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_pre_dispatch"2*n_jobs"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_refittrue
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_return_train_score"warn"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_scoring"roc_auc"
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC)(2)_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.

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)