Run
7807058

Run 7807058

Task 11 (Supervised Classification) balance-scale Uploaded 09-09-2017 by Benjamin Strang
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  • openml-python Sklearn_0.19.0. study_73
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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_state32626
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
0.8372 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7929 ± 0.0277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6168 ± 0.0603
Cross-validation details (10-fold Crossvalidation)
KB relative information score
346.6554 ± 3.6976
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1493 ± 0.0262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8109 ± 0.0279
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.776 ± 0.0394
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.776 ± 0.0394
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3932 ± 0.0688
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3864 ± 0.0356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8872 ± 0.0813
Cross-validation details (10-fold Crossvalidation)