Run
8809167

Run 8809167

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 23-01-2018 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[]
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[]
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)_C35.54807500030601
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.5741697977472788
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree1
sklearn.svm.classes.SVC(17)_gamma0.4760482661559683
sklearn.svm.classes.SVC(17)_kernel"poly"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state42504
sklearn.svm.classes.SVC(17)_shrinkingfalse
sklearn.svm.classes.SVC(17)_tol0.0032269189781342082
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

0.896 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
0.7326 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.5927 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
2818.9373 ± 5.4893
Cross-validation details (10-fold Crossvalidation)
0.1967 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
0.3312 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
5456
Per class
Cross-validation details (10-fold Crossvalidation)
0.7429 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
0.7355 ± 0.0128
Cross-validation details (10-fold Crossvalidation)
1.7151
Cross-validation details (10-fold Crossvalidation)
0.7355 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
0.5938 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
0.4069 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3042 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
0.7476 ± 0.01
Cross-validation details (10-fold Crossvalidation)