OpenML
7921058

Run 7921058

Task 3891 (Supervised Classification) gina_agnostic Uploaded 10-09-2017 by Benjamin Strang
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull
sklearn.preprocessing.imputation.Imputer(7)_axis0
sklearn.preprocessing.imputation.Imputer(7)_copytrue
sklearn.preprocessing.imputation.Imputer(7)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(7)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(7)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(13)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(13)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(13)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(13)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(13)_random_state37814
sklearn.tree.tree.DecisionTreeClassifier(13)_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
0.8534 ± 0.0228
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8535 ± 0.0228
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7069 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2451.5896 ± 15.8657
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1465 ± 0.0228
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3468
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8535 ± 0.0227
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8535 ± 0.0228
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8535 ± 0.0228
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.293 ± 0.0457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3827 ± 0.0296
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7656 ± 0.0592
Cross-validation details (10-fold Crossvalidation)