Run
6122995

Run 6122995

Task 3902 (Supervised Classification) pc4 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[]
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[]
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)_C1.6062713586509605
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.0
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree3
sklearn.svm.classes.SVC(11)_gamma0.10191591212207354
sklearn.svm.classes.SVC(11)_kernel"rbf"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state60519
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol0.0029221956244163995
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
0.6136 ± 0.0196
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8238 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0181 ± 0.0416
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-125.5906 ± 3.4393
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2092 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8531 ± 0.0761
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8786 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.8786 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.974 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3236 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9883 ± 0.0145
Cross-validation details (10-fold Crossvalidation)