Run
6005271

Run 6005271

Task 14969 (Supervised Classification) GesturePhaseSegmentationProcessed Uploaded 17-07-2017 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"mean"
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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C817.263867983046
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)_gamma0.12444209736650721
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_state57213
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.06875109202197272
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

Area under ROC curve
0.7642 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4131 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2816 ± 0.017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2283.9045 ± 5.4808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.267 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3065 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
9873
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4821 ± 0.1183
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4807 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.1936
Cross-validation details (10-fold Crossvalidation)
Recall
0.4807 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8712 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3915 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3616 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9236 ± 0.0038
Cross-validation details (10-fold Crossvalidation)