Run
8712267

Run 8712267

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 28-12-2017 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[0, 1, 2, 3, 4, 5]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[0, 1, 2, 3, 4, 5]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold0.0
sklearn.preprocessing.data.StandardScaler(6)_copytrue
sklearn.preprocessing.data.StandardScaler(6)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(6)_with_stdtrue
sklearn.svm.classes.SVC(17)_C32.7404234967552
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef0-0.6294029223162279
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree1
sklearn.svm.classes.SVC(17)_gamma5.6877803217074786e-05
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state3417
sklearn.svm.classes.SVC(17)_shrinkingfalse
sklearn.svm.classes.SVC(17)_tol0.002547860634245015
sklearn.svm.classes.SVC(17)_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

0.9587 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
0.9639 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
0.9278 ± 0.0486
Cross-validation details (10-fold Crossvalidation)
488.643 ± 2.5158
Cross-validation details (10-fold Crossvalidation)
0.0671 ± 0.0207
Cross-validation details (10-fold Crossvalidation)
0.4992 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
554
Per class
Cross-validation details (10-fold Crossvalidation)
0.9646 ± 0.0242
Per class
Cross-validation details (10-fold Crossvalidation)
0.9639 ± 0.0243
Cross-validation details (10-fold Crossvalidation)
0.9989
Cross-validation details (10-fold Crossvalidation)
0.9639 ± 0.0243
Per class
Cross-validation details (10-fold Crossvalidation)
0.1343 ± 0.0415
Cross-validation details (10-fold Crossvalidation)
0.4996 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
0.1864 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
0.3731 ± 0.1327
Cross-validation details (10-fold Crossvalidation)