Run
10227994

Run 10227994

Task 9950 (Supervised Classification) micro-mass Uploaded 08-05-2019 by joe zhou
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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

0.8786 ± 0.035
Per class
Cross-validation details (10-fold Crossvalidation)
0.7732
Per class
Cross-validation details (10-fold Crossvalidation)
0.7577 ± 0.0703
Cross-validation details (10-fold Crossvalidation)
434.9459 ± 3.6924
Cross-validation details (10-fold Crossvalidation)
0.0228 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.0941 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
571
Per class
Cross-validation details (10-fold Crossvalidation)
0.7776
Per class
Cross-validation details (10-fold Crossvalidation)
0.7723 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
4.208
Cross-validation details (10-fold Crossvalidation)
0.7723 ± 0.0663
Per class
Cross-validation details (10-fold Crossvalidation)
0.2419 ± 0.0704
Cross-validation details (10-fold Crossvalidation)
0.2169 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.1509 ± 0.0241
Cross-validation details (10-fold Crossvalidation)
0.6957 ± 0.111
Cross-validation details (10-fold Crossvalidation)