Run
10154399

Run 10154399

Task 6 (Supervised Classification) letter Uploaded 04-02-2019 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_state55540
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
0.987 ± 0.0012
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9749 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9739 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19491.7706 ± 4.6985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0019 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9751 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.975 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.975 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0261 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0439 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2283 ± 0.0105
Cross-validation details (10-fold Crossvalidation)