Run
6042241

Run 6042241

Task 21 (Supervised Classification) car Uploaded 22-07-2017 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[0, 1, 2, 3, 4, 5]
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[0, 1, 2, 3, 4, 5]
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)_C202.6322296773822
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.0
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.023252330880397073
sklearn.svm.classes.SVC(8)_kernel"rbf"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state22211
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.045269310963645455
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

0.9997 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
0.9948 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
0.9886 ± 0.014
Cross-validation details (10-fold Crossvalidation)
1665.5242 ± 1.7847
Cross-validation details (10-fold Crossvalidation)
0.0116 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
1728
Per class
Cross-validation details (10-fold Crossvalidation)
0.9948 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
0.9948 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
1.2099
Cross-validation details (10-fold Crossvalidation)
0.9948 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
0.0507 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.049 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
0.1449 ± 0.0437
Cross-validation details (10-fold Crossvalidation)