Run
10194963

Run 10194963

Task 219 (Supervised Classification) electricity 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

0.8894 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
0.8918 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
0.7786 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
35173.7922 ± 23.9062
Cross-validation details (10-fold Crossvalidation)
0.1082 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
45312
Per class
Cross-validation details (10-fold Crossvalidation)
0.8918 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
0.8918 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
0.9835
Cross-validation details (10-fold Crossvalidation)
0.8918 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
0.2215 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
0.329 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
0.6656 ± 0.0078
Cross-validation details (10-fold Crossvalidation)