Run
10229208

Run 10229208

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 12-07-2019 by joe zhou
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.tree.tree.DecisionTreeClassifier)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.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"}}]
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_verbosefalse
sklearn.impute._base.SimpleImputer(2)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(2)_copytrue
sklearn.impute._base.SimpleImputer(2)_fill_valuenull
sklearn.impute._base.SimpleImputer(2)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(2)_strategy"mean"
sklearn.impute._base.SimpleImputer(2)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(45)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(45)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(45)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(45)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(45)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(45)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(45)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(45)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(45)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(45)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(45)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(45)_random_state57812
sklearn.tree.tree.DecisionTreeClassifier(45)_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

Area under ROC curve
0.8012 ± 0.0521
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8157 ± 0.0441
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5918 ± 0.0991
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5648 ± 0.1035
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1858 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8183 ± 0.0458
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8142 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9223 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Recall
0.8142 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4154 ± 0.0988
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.431 ± 0.0521
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9116 ± 0.1103
Cross-validation details (10-fold Crossvalidation)