Run
10044999

Run 10044999

Task 31 (Supervised Classification) credit-g Uploaded 21-01-2019 by Jonathan Tan
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Flow

sklearn.pipeline.Pipeline(estimator=sklearn.tree.tree.DecisionTreeClassifie r)(1)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(22)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(22)_random_state25220
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull

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
0.6429 ± 0.0565
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6892 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2752 ± 0.1044
Cross-validation details (10-fold Crossvalidation)
KB relative information score
192.9639 ± 11.1701
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.316 ± 0.0438
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6966 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.684 ± 0.0438
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.684 ± 0.0438
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7521 ± 0.1042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5621 ± 0.0386
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2267 ± 0.0843
Cross-validation details (10-fold Crossvalidation)
Total cost