Run
10398205

Run 10398205

Task 31 (Supervised Classification) credit-g Uploaded 03-09-2019 by Florian Heiny
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.tree.tree.DecisionTreeClassifier)(3)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(3)_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)(3)_verbosefalse
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.tree.tree.DecisionTreeClassifier(49)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(49)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(49)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(49)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(49)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(49)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(49)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(49)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(49)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(49)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(49)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(49)_random_state14035
sklearn.tree.tree.DecisionTreeClassifier(49)_splitter"best"

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
0.6321 ± 0.0494
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6818 ± 0.0422
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2558 ± 0.0956
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1752 ± 0.1149
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.323 ± 0.045
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6881 ± 0.0413
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.677 ± 0.045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.677 ± 0.045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7688 ± 0.1071
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5683 ± 0.039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2402 ± 0.0852
Cross-validation details (10-fold Crossvalidation)