Run
2088644

Run 2088644

Task 3896 (Supervised Classification) ada_agnostic Uploaded 28-04-2017 by Jeroen van Hoof
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Flow

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)Automatically created sub-component.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_criterionfriedman_mse
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_initNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_learning_rate0.03
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_lossdeviance
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_depth2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_featuresNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_leaf_nodesNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_impurity_split1e-07
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_n_estimators512
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_presortauto
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_random_state3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_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
0.9045
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5857
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1936.573
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2098
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8526
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8582
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8582
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5623
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3192
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7391
Cross-validation details (10-fold Crossvalidation)