Run
7932552

Run 7932552

Task 10103 (Supervised Classification) volcanoes-a1 Uploaded 26-09-2017 by Dima K
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Flow

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)Automatically created scikit-learn flow.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_learning_rate0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_max_featuresnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_n_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_random_state15449
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(8)_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
0.9916 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9688 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8129 ± 0.0506
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2267.7568 ± 15.9945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0241 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0699 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
3252
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9713 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9714 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6323
Cross-validation details (10-fold Crossvalidation)
Recall
0.9714 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.345 ± 0.0296
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1864 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0961 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5157 ± 0.0607
Cross-validation details (10-fold Crossvalidation)