Run
9864506

Run 9864506

Task 31 (Supervised Classification) credit-g Uploaded 05-12-2018 by chao han
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(6)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(26)_axis0
sklearn.preprocessing.imputation.Imputer(26)_copytrue
sklearn.preprocessing.imputation.Imputer(26)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(26)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(26)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(27)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(27)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(27)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(27)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(27)_random_state8299
sklearn.tree.tree.DecisionTreeClassifier(27)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(6)_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
0.6333 ± 0.0433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6814 ± 0.0324
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2569 ± 0.0787
Cross-validation details (10-fold Crossvalidation)
KB relative information score
172.5466 ± 8.4389
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.324 ± 0.0331
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
0.6888 ± 0.0345
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.676 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.676 ± 0.0331
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7711 ± 0.0787
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5692 ± 0.0285
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2421 ± 0.0622
Cross-validation details (10-fold Crossvalidation)