Run
9201704

Run 9201704

Task 10093 (Supervised Classification) banknote-authentication Uploaded 23-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradi ent_boosting.GradientBoostingClassifier)(3)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3)_memorynull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_learning_rate0.5
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_depth4
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_features0.6000000000000001
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_leaf8
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_split11
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_n_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_random_state60860
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_subsample0.15000000000000002
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_warm_startfalse

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
1 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9978 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9956 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1363.9524 ± 0.7785
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.003 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9978 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9978 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.9978 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0061 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0435 ± 0.0317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0875 ± 0.0638
Cross-validation details (10-fold Crossvalidation)