Run
10194965

Run 10194965

Task 2079 (Supervised Classification) eucalyptus Uploaded 17-04-2019 by yang hua
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(38)_axis0
sklearn.preprocessing.imputation.Imputer(38)_copytrue
sklearn.preprocessing.imputation.Imputer(38)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(38)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(38)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(37)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(37)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(37)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(37)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(37)_random_state48439
sklearn.tree.tree.DecisionTreeClassifier(37)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_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"}}]

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

0.7416 ± 0.0265
Per class
Cross-validation details (10-fold Crossvalidation)
0.5911 ± 0.0406
Per class
Cross-validation details (10-fold Crossvalidation)
0.4791 ± 0.0524
Cross-validation details (10-fold Crossvalidation)
379.6196 ± 3.5365
Cross-validation details (10-fold Crossvalidation)
0.163 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
736
Per class
Cross-validation details (10-fold Crossvalidation)
0.5899 ± 0.0407
Per class
Cross-validation details (10-fold Crossvalidation)
0.5924 ± 0.0411
Cross-validation details (10-fold Crossvalidation)
2.2629
Cross-validation details (10-fold Crossvalidation)
0.5924 ± 0.0411
Per class
Cross-validation details (10-fold Crossvalidation)
0.5205 ± 0.0527
Cross-validation details (10-fold Crossvalidation)
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.4038 ± 0.0204
Cross-validation details (10-fold Crossvalidation)
1.0204 ± 0.0521
Cross-validation details (10-fold Crossvalidation)