Run
3986939

Run 3986939

Task 14 (Supervised Classification) mfeat-fourier Uploaded 04-07-2017 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"entropy"
sklearn.tree.tree.DecisionTreeClassifier(9)_max_depth1.9834035431441408
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_split18
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state46313
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
0.7158 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0662 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1078 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
477.7282 ± 0.5681
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1654 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0399 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.197 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.197 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9189 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2877 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9591 ± 0.0022
Cross-validation details (10-fold Crossvalidation)