OpenML
4001679

Run 4001679

Task 2075 (Supervised Classification) abalone 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"gini"
sklearn.tree.tree.DecisionTreeClassifier(9)_max_depth1.2787592910857524
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_leaf3
sklearn.tree.tree.DecisionTreeClassifier(9)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(9)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(9)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(9)_random_state48950
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
0.6243 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0881 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0782 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
577.335 ± 1.5345
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0595 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.056 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2116 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2116 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9631 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1725 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9818 ± 0.0028
Cross-validation details (10-fold Crossvalidation)