Run
10044996

Run 10044996

Task 31 (Supervised Classification) credit-g Uploaded 21-01-2019 by Jonathan Tan
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_state51006
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
0.6343 ± 0.0526
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6844 ± 0.0424
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2606 ± 0.0996
Cross-validation details (10-fold Crossvalidation)
KB relative information score
182.7552 ± 11.0266
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.32 ± 0.0432
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
0.6901 ± 0.0428
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.68 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.68 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7616 ± 0.1028
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5657 ± 0.0374
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2344 ± 0.0816
Cross-validation details (10-fold Crossvalidation)