Run
6052967

Run 6052967

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 28-07-2017 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[]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[]
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)_C2981.3568713555615
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)_gamma7.355865136024768e-05
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_state54563
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.0005308441554882327
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

0.9461 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
0.8375 ± 0.0129
Per class
Cross-validation details (10-fold Crossvalidation)
0.7532 ± 0.0195
Cross-validation details (10-fold Crossvalidation)
3668.0489 ± 6.0665
Cross-validation details (10-fold Crossvalidation)
0.1383 ± 0.0037
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)
0.839 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
0.8385 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
1.7151
Cross-validation details (10-fold Crossvalidation)
0.8385 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
0.4177 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
0.4069 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.25 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
0.6143 ± 0.0134
Cross-validation details (10-fold Crossvalidation)