Run
10424636

Run 10424636

Task 3902 (Supervised Classification) pc4 Uploaded 05-12-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.cl asses.SVC)(1)Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(1)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"median"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.preprocessing.data.StandardScaler(29)_copytrue
sklearn.preprocessing.data.StandardScaler(29)_with_meantrue
sklearn.preprocessing.data.StandardScaler(29)_with_stdtrue
sklearn.svm.classes.SVC(31)_C0.18102401530187834
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.9102558707709079
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree2
sklearn.svm.classes.SVC(31)_gamma2.518262200985078e-05
sklearn.svm.classes.SVC(31)_kernel"poly"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilitytrue
sklearn.svm.classes.SVC(31)_random_state1
sklearn.svm.classes.SVC(31)_shrinkingtrue
sklearn.svm.classes.SVC(31)_tol0.001
sklearn.svm.classes.SVC(31)_verbosefalse
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_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.

18 Evaluation measures

Area under ROC curve
0.8822 ± 0.0363
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8822 ± 0.0187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3822 ± 0.0974
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2271 ± 0.0722
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.147 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9005 ± 0.0147
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8871 ± 0.0228
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9005 ± 0.0147
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5353 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6847 ± 0.0562
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2803 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8561 ± 0.0493
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.6435 ± 0.0424
Cross-validation details (10-fold Crossvalidation)