Run
6256056

Run 6256056

Task 9971 (Supervised Classification) ilpd 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"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)_C0.3403165702532878
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.30313142468808607
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.00021607907047620285
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_state64360
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.011772218932592764
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
0.6461 ± 0.1577
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5966 ± 0.0387
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0017 ± 0.0347
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1654 ± 0.3304
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4087 ± 0.0036
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
0.6048 ± 0.215
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7118 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.865
Cross-validation details (10-fold Crossvalidation)
Recall
0.7118 ± 0.0149
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9991 ± 0.0049
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
0.4512 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9979 ± 0.0065
Cross-validation details (10-fold Crossvalidation)