Run
6123171

Run 6123171

Task 146607 (Supervised Classification) SpeedDating Uploaded 18-08-2017 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)(3)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[0, 2, 6, 7, 8, 9, 12, 13, 14, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 56, 57, 58, 59, 60, 67, 68, 69, 70, 71, 72, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 112, 113, 114, 117, 118]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C457.3046449672223
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef0-0.5034796547739495
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree4
sklearn.svm.classes.SVC(11)_gamma0.00017150152431091647
sklearn.svm.classes.SVC(11)_kernel"poly"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state64871
sklearn.svm.classes.SVC(11)_shrinkingfalse
sklearn.svm.classes.SVC(11)_tol0.00023562313195850835
sklearn.svm.classes.SVC(11)_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

0.7584 ± 0.0178
Per class
Cross-validation details (10-fold Crossvalidation)
0.7722 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
0.0524 ± 0.0397
Cross-validation details (10-fold Crossvalidation)
423.4254 ± 16.3271
Cross-validation details (10-fold Crossvalidation)
0.241 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
0.2752 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
8378
Per class
Cross-validation details (10-fold Crossvalidation)
0.7812 ± 0.0261
Per class
Cross-validation details (10-fold Crossvalidation)
0.8348 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
0.6457
Cross-validation details (10-fold Crossvalidation)
0.8348 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.8758 ± 0.0243
Cross-validation details (10-fold Crossvalidation)
0.3709 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3552 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
0.9575 ± 0.0116
Cross-validation details (10-fold Crossvalidation)