Run
9963187

Run 9963187

Task 31 (Supervised Classification) credit-g Uploaded 12-01-2019 by Adam Jilling
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)_memorynull
sklearn.preprocessing.imputation.Imputer(35)_axis0
sklearn.preprocessing.imputation.Imputer(35)_copytrue
sklearn.preprocessing.imputation.Imputer(35)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(35)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(35)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(33)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(33)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(33)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(33)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(33)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(33)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(33)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(33)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(33)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(33)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(33)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(33)_random_state22906
sklearn.tree.tree.DecisionTreeClassifier(33)_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
0.6393 ± 0.0541
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6877 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2696 ± 0.1013
Cross-validation details (10-fold Crossvalidation)
KB relative information score
190.4117 ± 11.0953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.317 ± 0.0435
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
0.694 ± 0.0437
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.683 ± 0.0435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.683 ± 0.0435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7545 ± 0.1035
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.563 ± 0.0378
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2286 ± 0.0825
Cross-validation details (10-fold Crossvalidation)