Run
6005136

Run 6005136

Task 9960 (Supervised Classification) wall-robot-navigation 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)_C13.837248745867306
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.6242259541591548
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree1
sklearn.svm.classes.SVC(8)_gamma0.006119446014941444
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_state59697
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.0025609843705189967
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
0.8878 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7146 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5667 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2754.9614 ± 5.3684
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1996 ± 0.0037
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
0.7251 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7199 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7151
Cross-validation details (10-fold Crossvalidation)
Recall
0.7199 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6026 ± 0.0111
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
0.3097 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7611 ± 0.0112
Cross-validation details (10-fold Crossvalidation)