Run
4098906

Run 4098906

Task 28 (Supervised Classification) optdigits 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"mean"
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_depth1.948683694781837
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_split4
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state29720
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
0.5909 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1114 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.104 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
KB relative information score
692.257 ± 2.1981
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1679 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0871 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1947 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.1947 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9327 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2898 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9658 ± 0.0018
Cross-validation details (10-fold Crossvalidation)