Run
10228014

Run 10228014

Task 9986 (Supervised Classification) gas-drift Uploaded 08-05-2019 by joe zhou
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.tree.tree.DecisionTreeClassifier)(2)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"mean"
sklearn.impute.SimpleImputer(10)_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_state57268
sklearn.tree.tree.DecisionTreeClassifier(37)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_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

0.9851 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
0.9751 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
0.9698 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
13516.2515 ± 8.5726
Cross-validation details (10-fold Crossvalidation)
0.0083 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
0.2748 ± 0
Cross-validation details (10-fold Crossvalidation)
13910
Per class
Cross-validation details (10-fold Crossvalidation)
0.9752 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
0.9751 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
2.5457
Cross-validation details (10-fold Crossvalidation)
0.9751 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
0.0302 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
0.3707 ± 0
Cross-validation details (10-fold Crossvalidation)
0.0911 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
0.2457 ± 0.0268
Cross-validation details (10-fold Crossvalidation)