Run
6018734

Run 6018734

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 18-07-2017 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)_C0.05972130270843769
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.8612887939776139
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree4
sklearn.svm.classes.SVC(8)_gamma1.935908695208236
sklearn.svm.classes.SVC(8)_kernel"poly"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state51633
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol8.091866519960971e-05
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
0.9698 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8996 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8483 ± 0.014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4186.2861 ± 6.2378
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1009 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3312 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
5456
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8998 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9001 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7151
Cross-validation details (10-fold Crossvalidation)
Recall
0.9001 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3047 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4069 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2098 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5155 ± 0.0204
Cross-validation details (10-fold Crossvalidation)