Run
10154813

Run 10154813

Task 31 (Supervised Classification) credit-g Uploaded 14-02-2019 by Maja Franz
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(30)_axis0
sklearn.preprocessing.imputation.Imputer(30)_copytrue
sklearn.preprocessing.imputation.Imputer(30)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(30)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(30)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(30)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(30)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(30)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(30)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(30)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(30)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(30)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(30)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(30)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(30)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(30)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(30)_random_state34486
sklearn.tree.tree.DecisionTreeClassifier(30)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)_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
0.6581 ± 0.0341
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7041 ± 0.023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3068 ± 0.0593
Cross-validation details (10-fold Crossvalidation)
KB relative information score
233.7985 ± 5.7699
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3 ± 0.0226
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
0.7096 ± 0.0258
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7 ± 0.0226
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.714 ± 0.0538
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5477 ± 0.0208
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1952 ± 0.0453
Cross-validation details (10-fold Crossvalidation)