Run
3869328

Run 3869328

Task 3560 (Supervised Classification) analcatdata_dmft Uploaded 03-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,classifier=sklearn.tree.tree.DecisionTreeClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(5)_axis0
sklearn.preprocessing.imputation.Imputer(5)_copytrue
sklearn.preprocessing.imputation.Imputer(5)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(5)_strategy"median"
sklearn.preprocessing.imputation.Imputer(5)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(9)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(9)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(9)_max_depth1.5625963662372082
sklearn.tree.tree.DecisionTreeClassifier(9)_max_features1.0
sklearn.tree.tree.DecisionTreeClassifier(9)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(9)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_leaf17
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_split20
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state14905
sklearn.tree.tree.DecisionTreeClassifier(9)_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
0.5153 ± 0.0216
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.123 ± 0.0118
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0427 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.2485 ± 0.3542
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.276 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2774 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.13 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2008 ± 0.0215
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5803
Cross-validation details (10-fold Crossvalidation)
Recall
0.2008 ± 0.0215
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9948 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3724 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.372 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9988 ± 0.0036
Cross-validation details (10-fold Crossvalidation)