Run
3410

Run 3410

Task 97 (Supervised Classification) credit-g Uploaded 04-11-2019 by Test Test
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.tree.tree.DecisionTreeClassifier)(4)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(7)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(7)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(7)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(7)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(7)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(7)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(7)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(7)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(7)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(7)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(7)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(7)_random_state19497
sklearn.tree.tree.DecisionTreeClassifier(7)_splitter"best"
sklearn.impute._base.SimpleImputer(4)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(4)_copytrue
sklearn.impute._base.SimpleImputer(4)_fill_valuenull
sklearn.impute._base.SimpleImputer(4)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(4)_strategy"mean"
sklearn.impute._base.SimpleImputer(4)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(4)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(4)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(4)_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

0.6264 ± 0.0599
Per class
Cross-validation details (10-fold Crossvalidation)
0.6748 ± 0.0489
Per class
Cross-validation details (10-fold Crossvalidation)
0.2429 ± 0.1124
Cross-validation details (10-fold Crossvalidation)
0.1548 ± 0.1288
Cross-validation details (10-fold Crossvalidation)
0.331 ± 0.0504
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
0.669 ± 0.0504
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.683 ± 0.0486
Per class
Cross-validation details (10-fold Crossvalidation)
0.669 ± 0.0504
Cross-validation details (10-fold Crossvalidation)
0.8813
Cross-validation details (10-fold Crossvalidation)
0.7878 ± 0.12
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.5753 ± 0.0433
Cross-validation details (10-fold Crossvalidation)
1.2555 ± 0.0944
Cross-validation details (10-fold Crossvalidation)
0.6264 ± 0.0599
Cross-validation details (10-fold Crossvalidation)