Run
10427617

Run 10427617

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 06-12-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm .classes.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"most_frequent"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.svm.classes.SVC(31)_C525.975989178388
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.8208988082481716
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree1
sklearn.svm.classes.SVC(31)_gamma5.448361803452555e-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,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,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": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(1)_verbosefalse
sklearn.preprocessing._encoders.OneHotEncoder(11)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_dropnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(11)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(11)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(11)_sparsetrue

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

0.9852 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
0.9389 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
0.876 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
0.8315 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
0.0887 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
0.4935 ± 0
Cross-validation details (10-fold Crossvalidation)
0.9389 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
11055
Per class
Cross-validation details (10-fold Crossvalidation)
0.9389 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
0.9389 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.9906 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.1798 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
0.4967 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2144 ± 0.0085
Cross-validation details (10-fold Crossvalidation)
0.4317 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
0.9372 ± 0.0074
Cross-validation details (10-fold Crossvalidation)