Run
10376002

Run 10376002

Task 14 (Supervised Classification) mfeat-fourier Uploaded 24-08-2019 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)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_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)(2)_verbosefalse
sklearn.impute._base.SimpleImputer(3)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(3)_copytrue
sklearn.impute._base.SimpleImputer(3)_fill_valuenull
sklearn.impute._base.SimpleImputer(3)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(3)_strategy"median"
sklearn.impute._base.SimpleImputer(3)_verbose0
sklearn.preprocessing.data.StandardScaler(30)_copytrue
sklearn.preprocessing.data.StandardScaler(30)_with_meantrue
sklearn.preprocessing.data.StandardScaler(30)_with_stdtrue
sklearn.svm.classes.SVC(32)_C10.0
sklearn.svm.classes.SVC(32)_cache_size200
sklearn.svm.classes.SVC(32)_class_weightnull
sklearn.svm.classes.SVC(32)_coef00.0
sklearn.svm.classes.SVC(32)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(32)_degree2
sklearn.svm.classes.SVC(32)_gamma0.001
sklearn.svm.classes.SVC(32)_kernel"rbf"
sklearn.svm.classes.SVC(32)_max_iter-1
sklearn.svm.classes.SVC(32)_probabilityfalse
sklearn.svm.classes.SVC(32)_random_state27189
sklearn.svm.classes.SVC(32)_shrinkingtrue
sklearn.svm.classes.SVC(32)_tol0.001
sklearn.svm.classes.SVC(32)_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
0.9083 ± 0.0146
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8345 ± 0.0264
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8167 ± 0.0293
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8275 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.033 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8348 ± 0.0264
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.835 ± 0.0264
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.835 ± 0.0264
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1833 ± 0.0293
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1817 ± 0.0147
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6055 ± 0.0489
Cross-validation details (10-fold Crossvalidation)