OpenML
7928782

Run 7928782

Task 9971 (Supervised Classification) ilpd 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_state48521
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
0.5894 ± 0.08
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6598 ± 0.0648
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1756 ± 0.1559
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.2835 ± 9.4784
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3431 ± 0.0641
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6631 ± 0.0678
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6569 ± 0.0641
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.865
Cross-validation details (10-fold Crossvalidation)
Recall
0.6569 ± 0.0641
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8385 ± 0.1529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5857 ± 0.0556
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2955 ± 0.117
Cross-validation details (10-fold Crossvalidation)