Run
9195704

Run 9195704

Task 29 (Supervised Classification) credit-approval Uploaded 26-04-2018 by Thomas Paulin
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(3)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
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_state33498
sklearn.tree.tree.DecisionTreeClassifier(22)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(3)_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
0.8099 ± 0.0348
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8117 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6191 ± 0.0712
Cross-validation details (10-fold Crossvalidation)
KB relative information score
425.3821 ± 5.1077
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1884 ± 0.0362
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8119 ± 0.0342
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8116 ± 0.0362
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8116 ± 0.0362
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3814 ± 0.0733
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4341 ± 0.0414
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8734 ± 0.0835
Cross-validation details (10-fold Crossvalidation)