Run
6006712

Run 6006712

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 17-07-2017 by Michal Blazej
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_rate0.025
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_max_features0.66
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_estimators1000
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(6)_random_state50052
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
0.7176
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7753
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0847
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-747.2045
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2538
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
0.8071
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8363
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9061
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3552
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9492
Cross-validation details (10-fold Crossvalidation)