Run
4170460

Run 4170460

Task 2 (Supervised Classification) anneal Uploaded 05-07-2017 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_depth1.9840031053765534
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_leaf19
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_split14
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state33812
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
0.5866 ± 0.0185
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.713 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2475 ± 0.0507
Cross-validation details (10-fold Crossvalidation)
KB relative information score
169.1476 ± 3.0109
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1135 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6455 ± 0.0114
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7984 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.7984 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8453 ± 0.0236
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2392 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9263 ± 0.0277
Cross-validation details (10-fold Crossvalidation)