Run
6005946

Run 6005946

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 17-07-2017 by Berkel
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Flow

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)Automatically created scikit-learn flow.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_learning_rate0.05
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_max_featuresnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_min_impurity_split1e-07
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_n_estimators500
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_random_state52570
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(7)_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
0.7172
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7769
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0912
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-735.552
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2537
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
0.8102
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9057
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3553
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9494
Cross-validation details (10-fold Crossvalidation)