Run
6046594

Run 6046594

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 25-07-2017 by Michal Blazej
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Flow

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)Automatically created scikit-learn flow.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_learning_rate0.04
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_max_depth5
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_max_features0.99
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_min_impurity_split1e-07
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_n_estimators500
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_random_state30207
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_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
0.7192
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7824
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-175.2202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2501
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8069
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8376
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8376
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8927
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3546
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9474
Cross-validation details (10-fold Crossvalidation)