Run
1852724

Run 1852724

Task 145677 (Supervised Classification) Bioresponse Uploaded 16-03-2017 by Jos Mangnus
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  • NumPy_1.11.3. Python_3.6.0. run_task SciPy_0.18.1. sklearn.ensemble.bagging.BaggingClassifier Sklearn_0.18.1. Thu_Mar_16_12.25.24_2017
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble. gradient_boosting.GradientBoostingClassifier)(1)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_rate0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_lossdeviance
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_depth32
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_estimators256
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_presortauto
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_random_stateNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_warm_startFalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_base_estimatorGradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.1, loss='deviance', max_depth=32, max_features=None, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=256, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_bootstrapTrue
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_bootstrap_featuresFalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_max_features1.0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_max_samples1.0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_n_estimators16
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_n_jobs-1
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_oob_scoreFalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_verbose2
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_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
0.8646
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.795
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5865
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1767.6151
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2739
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7953
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7955
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7955
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5516
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3856
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.774
Cross-validation details (10-fold Crossvalidation)