OpenML
7921190

Run 7921190

Task 3896 (Supervised Classification) ada_agnostic Uploaded 10-09-2017 by Benjamin Strang
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)_memorynull
sklearn.preprocessing.imputation.Imputer(7)_axis0
sklearn.preprocessing.imputation.Imputer(7)_copytrue
sklearn.preprocessing.imputation.Imputer(7)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(7)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(7)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(13)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(13)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(13)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(13)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(13)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(13)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(13)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(13)_random_state37814
sklearn.tree.tree.DecisionTreeClassifier(13)_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
0.7253 ± 0.0239
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7899 ± 0.017
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4423 ± 0.0453
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1664.3625 ± 23.8423
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.212 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7921 ± 0.0168
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.788 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.788 ± 0.0173
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.568 ± 0.0465
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4604 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0659 ± 0.0439
Cross-validation details (10-fold Crossvalidation)