Run
6123146

Run 6123146

Task 3567 (Supervised Classification) collins 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[19, 20]
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[19, 20]
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)_C0.0619140822369757
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.08933832439856526
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree4
sklearn.svm.classes.SVC(11)_gamma0.03564209370948914
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_state53522
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol0.00020811277879660575
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

Area under ROC curve
0.9982 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9581 ± 0.027
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9559 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
KB relative information score
398.5943 ± 1.7089
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0442 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1212 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9615 ± 0.0181
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96 ± 0.0298
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6642
Cross-validation details (10-fold Crossvalidation)
Recall
0.96 ± 0.0298
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3649 ± 0.0363
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.246 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1111 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4517 ± 0.0425
Cross-validation details (10-fold Crossvalidation)