Run
10154781

Run 10154781

Task 4 (Supervised Classification) labor Uploaded 13-02-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(23)_C1.0
sklearn.svm.classes.SVC(23)_cache_size200
sklearn.svm.classes.SVC(23)_class_weightnull
sklearn.svm.classes.SVC(23)_coef00.0
sklearn.svm.classes.SVC(23)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(23)_degree3
sklearn.svm.classes.SVC(23)_gamma"auto"
sklearn.svm.classes.SVC(23)_kernel"rbf"
sklearn.svm.classes.SVC(23)_max_iter-1
sklearn.svm.classes.SVC(23)_probabilityfalse
sklearn.svm.classes.SVC(23)_random_state4248
sklearn.svm.classes.SVC(23)_shrinkingtrue
sklearn.svm.classes.SVC(23)_tol0.001
sklearn.svm.classes.SVC(23)_verbosefalse
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.svm.classes.SVC)(1)_memorynull

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
0.9115 ± 0.1186
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9289 ± 0.0979
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8423 ± 0.2146
Cross-validation details (10-fold Crossvalidation)
KB relative information score
47.6876 ± 1.1847
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0702 ± 0.0909
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9306 ± 0.0688
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9298 ± 0.0909
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.9298 ± 0.0909
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1535 ± 0.1983
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2649 ± 0.2161
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.555 ± 0.4526
Cross-validation details (10-fold Crossvalidation)