Run
5987254

Run 5987254

Task 9971 (Supervised Classification) ilpd Uploaded 17-07-2017 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"mean"
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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C2.5644216536342013
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.1662663285176651
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.0006038718658384588
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_state61267
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.02561655215883441
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

Area under ROC curve
0.5095 ± 0.2321
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5926 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0068 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3.6242 ± 0.806
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4111 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5085 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7101 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.865
Cross-validation details (10-fold Crossvalidation)
Recall
0.7101 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0049 ± 0.0115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4552 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0068 ± 0.0148
Cross-validation details (10-fold Crossvalidation)