Run
10228447

Run 10228447

Task 31 (Supervised Classification) credit-g Uploaded 07-06-2019 by Huaxiu Yao
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)_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.preprocessing.imputation.Imputer(43)_axis0
sklearn.preprocessing.imputation.Imputer(43)_copytrue
sklearn.preprocessing.imputation.Imputer(43)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(43)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(43)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(42)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(42)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(42)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(42)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(42)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(42)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(42)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(42)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(42)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(42)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(42)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(42)_random_state13889
sklearn.tree.tree.DecisionTreeClassifier(42)_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

0.6436 ± 0.0569
Per class
Cross-validation details (10-fold Crossvalidation)
0.6901 ± 0.0461
Per class
Cross-validation details (10-fold Crossvalidation)
0.2769 ± 0.108
Cross-validation details (10-fold Crossvalidation)
0.1956 ± 0.1211
Cross-validation details (10-fold Crossvalidation)
0.315 ± 0.0474
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.6972 ± 0.0462
Per class
Cross-validation details (10-fold Crossvalidation)
0.685 ± 0.0474
Cross-validation details (10-fold Crossvalidation)
0.8813
Cross-validation details (10-fold Crossvalidation)
0.685 ± 0.0474
Per class
Cross-validation details (10-fold Crossvalidation)
0.7497 ± 0.1129
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.5612 ± 0.041
Cross-validation details (10-fold Crossvalidation)
1.2247 ± 0.0895
Cross-validation details (10-fold Crossvalidation)