Run
8731776

Run 8731776

Task 34539 (Supervised Classification) Amazon_employee_access Uploaded 29-12-2017 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[0, 1, 2, 3, 4, 5, 6, 7, 8]
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[0, 1, 2, 3, 4, 5, 6, 7, 8]
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)_C0.10561344971410466
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.39126422553359164
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree4
sklearn.svm.classes.SVC(17)_gamma7.44182650201911e-05
sklearn.svm.classes.SVC(17)_kernel"sigmoid"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state46070
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol0.0007658225935706424
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

0.8098 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
0.9277 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
0.2146 ± 0.03
Cross-validation details (10-fold Crossvalidation)
534.9111 ± 73.8861
Cross-validation details (10-fold Crossvalidation)
0.0913 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.1091 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
32769
Per class
Cross-validation details (10-fold Crossvalidation)
0.9252 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
0.9428 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
0.3191
Cross-validation details (10-fold Crossvalidation)
0.9428 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
0.8366 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
0.2335 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.2191 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
0.9383 ± 0.0177
Cross-validation details (10-fold Crossvalidation)