Run
9204571

Run 9204571

Task 31 (Supervised Classification) credit-g Uploaded 29-09-2018 by Ying Wei
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(4)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(4)_memorynull
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_state51010
sklearn.tree.tree.DecisionTreeClassifier(22)_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
0.645 ± 0.0463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6918 ± 0.0347
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2801 ± 0.0844
Cross-validation details (10-fold Crossvalidation)
KB relative information score
200.6204 ± 9.0872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.313 ± 0.0356
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
0.6985 ± 0.0374
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.687 ± 0.0356
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.687 ± 0.0356
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.745 ± 0.0847
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5595 ± 0.0313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2209 ± 0.0684
Cross-validation details (10-fold Crossvalidation)