Run
8814190

Run 8814190

Task 14966 (Supervised Classification) Bioresponse Uploaded 23-01-2018 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold0.0
sklearn.preprocessing.data.StandardScaler(6)_copytrue
sklearn.preprocessing.data.StandardScaler(6)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(6)_with_stdtrue
sklearn.svm.classes.SVC(17)_C0.2013335860173746
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef0-0.674285282156911
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree3
sklearn.svm.classes.SVC(17)_gamma4.078394439796474
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state12376
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol5.970399457464998e-05
sklearn.svm.classes.SVC(17)_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.

17 Evaluation measures

0.4949 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
0.3808 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
-0.0021 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
-2.8811 ± 0.4964
Cross-validation details (10-fold Crossvalidation)
0.4968 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.4964 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
3751
Per class
Cross-validation details (10-fold Crossvalidation)
0.2938 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
0.5412 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
0.9948
Cross-validation details (10-fold Crossvalidation)
0.5412 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
1.0007 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
0.4982 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.4986 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
1.0009 ± 0.0016
Cross-validation details (10-fold Crossvalidation)