Run
10229185

Run 10229185

Task 43 (Supervised Classification) spambase Uploaded 12-07-2019 by joe zhou
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.tree.tree.DecisionTreeClassifier)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_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.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(2)_verbosefalse
sklearn.impute._base.SimpleImputer(2)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(2)_copytrue
sklearn.impute._base.SimpleImputer(2)_fill_valuenull
sklearn.impute._base.SimpleImputer(2)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(2)_strategy"mean"
sklearn.impute._base.SimpleImputer(2)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(45)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(45)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(45)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(45)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(45)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(45)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(45)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(45)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(45)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(45)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(45)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(45)_random_state57812
sklearn.tree.tree.DecisionTreeClassifier(45)_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
0.9185 ± 0.0169
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9206 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.834 ± 0.0341
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8296 ± 0.0346
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0798 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9209 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9205 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Recall
0.9205 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.167 ± 0.034
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2822 ± 0.0308
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5776 ± 0.0632
Cross-validation details (10-fold Crossvalidation)