Run
6123145

Run 6123145

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 18-08-2017 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


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)(3)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C321.98438100995446
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.0
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree3
sklearn.svm.classes.SVC(11)_gamma0.38234576929900616
sklearn.svm.classes.SVC(11)_kernel"rbf"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state23501
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol0.002402805556885332
sklearn.svm.classes.SVC(11)_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
0.9642 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8569 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7825 ± 0.01
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3992.0362 ± 8.4892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1049 ± 0.0061
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
0.8627 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8576 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7151
Cross-validation details (10-fold Crossvalidation)
Recall
0.8576 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3166 ± 0.0184
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
0.229 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5627 ± 0.0151
Cross-validation details (10-fold Crossvalidation)