OpenML
3976707

Run 3976707

Task 3549 (Supervised Classification) analcatdata_authorship 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"most_frequent"
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_depth0.7244116324931091
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_leaf15
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_split6
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state53128
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
0.4924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2064
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.721
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3437
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3439
Cross-validation details (10-fold Crossvalidation)
Number of instances
841
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1421
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3769
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7898
Cross-validation details (10-fold Crossvalidation)
Recall
0.3769
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4146
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)