Run
4578128

Run 4578128

Task 3561 (Supervised Classification) profb Uploaded 07-07-2017 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)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(6)_categorical_features[3, 4, 7, 8]
sklearn.preprocessing.data.OneHotEncoder(6)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(6)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(6)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(6)_sparsefalse
openmlstudy14.preprocessing.ConditionalImputer(3)_axis0
openmlstudy14.preprocessing.ConditionalImputer(3)_categorical_features[3, 4, 7, 8]
openmlstudy14.preprocessing.ConditionalImputer(3)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(3)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(3)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(3)_verbose0
sklearn.feature_selection.variance_threshold.VarianceThreshold(5)_threshold0.0
sklearn.svm.classes.SVC(9)_C33.964665616451924
sklearn.svm.classes.SVC(9)_cache_size200
sklearn.svm.classes.SVC(9)_class_weightnull
sklearn.svm.classes.SVC(9)_coef00.0
sklearn.svm.classes.SVC(9)_decision_function_shapenull
sklearn.svm.classes.SVC(9)_degree3
sklearn.svm.classes.SVC(9)_gamma0.000350494083046806
sklearn.svm.classes.SVC(9)_kernel"rbf"
sklearn.svm.classes.SVC(9)_max_iter-1
sklearn.svm.classes.SVC(9)_probabilitytrue
sklearn.svm.classes.SVC(9)_random_state7504
sklearn.svm.classes.SVC(9)_shrinkingtrue
sklearn.svm.classes.SVC(9)_tol0.00020153940772540572
sklearn.svm.classes.SVC(9)_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
0.6967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6131
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.128
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.6076
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4111
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.689
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.689
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9245
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4509
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9566
Cross-validation details (10-fold Crossvalidation)