Run
8884843

Run 8884843

Task 14 (Supervised Classification) mfeat-fourier Uploaded 12-03-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=openmlcontrib.preprocessing.imputation .ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,sc aling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.f eature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.sv m.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[]
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)_C1.0
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.0
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree3
sklearn.svm.classes.SVC(17)_gamma0.25
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilityfalse
sklearn.svm.classes.SVC(17)_random_state1
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol0.001
sklearn.svm.classes.SVC(17)_verbosefalse
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_axis0
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_categorical_features[]
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_copytrue
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_fill_empty0
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_missing_values"NaN"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_strategy"median"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_strategy_nominal"most_frequent"
openmlcontrib.preprocessing.imputation.ConditionalImputer(1)_verbose0

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

0.6203 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
0.343
Per class
Cross-validation details (10-fold Crossvalidation)
0.2406 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
570.4495 ± 5.4014
Cross-validation details (10-fold Crossvalidation)
0.1367 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
2000
Per class
Cross-validation details (10-fold Crossvalidation)
0.7107
Per class
Cross-validation details (10-fold Crossvalidation)
0.3165 ± 0.0258
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.3165 ± 0.0258
Per class
Cross-validation details (10-fold Crossvalidation)
0.7594 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.3697 ± 0.007
Cross-validation details (10-fold Crossvalidation)
1.2324 ± 0.0234
Cross-validation details (10-fold Crossvalidation)