Run
10155007

Run 10155007

Task 168882 (Supervised Classification) test_dataset Uploaded 23-03-2019 by Munira Alballa
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,classifier=s klearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"mean"
sklearn.impute.SimpleImputer(10)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(51)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(51)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(51)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(51)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(51)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(51)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(51)_n_estimators"warn"
sklearn.ensemble.forest.RandomForestClassifier(51)_n_jobsnull
sklearn.ensemble.forest.RandomForestClassifier(51)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(51)_random_state6881
sklearn.ensemble.forest.RandomForestClassifier(51)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(51)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]

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
0.8817 ± 0.0069
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.807 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6137 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7104.4099 ± 13.5703
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2866 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
15547
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.807 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.807 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.807 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5736 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4998 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3697 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7396 ± 0.0099
Cross-validation details (10-fold Crossvalidation)