OpenML
4170876

Run 4170876

Task 125920 (Supervised Classification) dresses-sales 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"entropy"
sklearn.tree.tree.DecisionTreeClassifier(9)_max_depth1.8848402690113137
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_leaf4
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_split16
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state63523
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
0.5251 ± 0.059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5427 ± 0.0762
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1245 ± 0.1289
Cross-validation details (10-fold Crossvalidation)
KB relative information score
19.6814 ± 1.8312
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4724 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6422 ± 0.1099
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.618 ± 0.0529
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9816
Cross-validation details (10-fold Crossvalidation)
Recall
0.618 ± 0.0529
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9696 ± 0.0273
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4867 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.986 ± 0.0306
Cross-validation details (10-fold Crossvalidation)