Run
6288214

Run 6288214

Task 219 (Supervised Classification) electricity Uploaded 28-08-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[1]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[1]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C8.347495999719271
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.9888522622074198
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.003221957929601156
sklearn.svm.classes.SVC(8)_kernel"sigmoid"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state22472
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol7.549939640861727e-05
sklearn.svm.classes.SVC(8)_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

0.742 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
0.6726 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
0.3262 ± 0.0175
Cross-validation details (10-fold Crossvalidation)
8816.3302 ± 35.4753
Cross-validation details (10-fold Crossvalidation)
0.4029 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
45312
Per class
Cross-validation details (10-fold Crossvalidation)
0.6735 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
0.6771 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
0.9835
Cross-validation details (10-fold Crossvalidation)
0.6771 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
0.8246 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4493 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
0.909 ± 0.007
Cross-validation details (10-fold Crossvalidation)