Run
10417321

Run 10417321

Task 31 (Supervised Classification) credit-g Uploaded 29-10-2019 by li xinxiao
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.tree.tree.DecisionTreeClassifier)(4)Automatically created scikit-learn flow.
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
sklearn.impute._base.SimpleImputer(6)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(6)_copytrue
sklearn.impute._base.SimpleImputer(6)_fill_valuenull
sklearn.impute._base.SimpleImputer(6)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(6)_strategy"mean"
sklearn.impute._base.SimpleImputer(6)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(53)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(53)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(53)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(53)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(53)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(53)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(53)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(53)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(53)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(53)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(53)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(53)_random_state45325
sklearn.tree.tree.DecisionTreeClassifier(53)_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
0.6469 ± 0.0506
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6923 ± 0.0332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2828 ± 0.0881
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2007 ± 0.0817
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.313 ± 0.032
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
0.6998 ± 0.04
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.687 ± 0.032
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.687 ± 0.032
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.745 ± 0.0761
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5595 ± 0.0283
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2209 ± 0.0618
Cross-validation details (10-fold Crossvalidation)