Run
6183237

Run 6183237

Task 219 (Supervised Classification) electricity Uploaded 27-08-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


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"most_frequent"
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)_C802.2356702841116
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.5829856671528868
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree4
sklearn.svm.classes.SVC(8)_gamma2.4288005224650444
sklearn.svm.classes.SVC(8)_kernel"poly"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state32419
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.002608911498997148
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

0.7729 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
0.7152 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
0.4143 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
10180.6867 ± 44.2485
Cross-validation details (10-fold Crossvalidation)
0.3905 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
45312
Per class
Cross-validation details (10-fold Crossvalidation)
0.7232 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
0.7226 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
0.9835
Cross-validation details (10-fold Crossvalidation)
0.7226 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
0.7993 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4394 ± 0.004
Cross-validation details (10-fold Crossvalidation)
0.889 ± 0.0081
Cross-validation details (10-fold Crossvalidation)