Run
10245458

Run 10245458

Task 31 (Supervised Classification) credit-g Uploaded 26-07-2019 by Deokki Choi
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(20)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(20)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
sklearn.preprocessing.imputation.Imputer(46)_axis0
sklearn.preprocessing.imputation.Imputer(46)_copytrue
sklearn.preprocessing.imputation.Imputer(46)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(46)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(46)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(47)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(47)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(47)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(47)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(47)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(47)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(47)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(47)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(47)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(47)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(47)_random_state14813
sklearn.tree.tree.DecisionTreeClassifier(47)_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
0.6474 ± 0.0581
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6938 ± 0.047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2847 ± 0.1132
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2058 ± 0.12
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.311 ± 0.047
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7005 ± 0.048
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.689 ± 0.047
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.689 ± 0.047
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7402 ± 0.1119
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5577 ± 0.0425
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2169 ± 0.0927
Cross-validation details (10-fold Crossvalidation)