Run
10227859

Run 10227859

Task 145976 (Supervised Classification) diabetes Uploaded 26-04-2019 by Adrian-Stefan Mares
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.ensemble.gradient_boosting.GradientBoostingClassifier)(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.gradient_boosting.GradientBoostingClassifier(20)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_learning_rate0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_max_featuresnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_n_estimators10000
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_n_iter_no_changenull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_random_state40013
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_tol0.0001
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_validation_fraction0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(20)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_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"}}]

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
0.7964 ± 0.0505
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7417 ± 0.0507
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.428 ± 0.1133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
307.1971 ± 7.6693
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2634 ± 0.0417
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7405 ± 0.0516
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7435 ± 0.0508
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7435 ± 0.0508
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5796 ± 0.0923
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4746 ± 0.041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9957 ± 0.0873
Cross-validation details (10-fold Crossvalidation)