Run
1852408

Run 1852408

Task 145677 (Supervised Classification) Bioresponse Uploaded 13-03-2017 by Joost Visser
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  • Mon_Mar_13_14.16.42_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.ensemble.voting_classifier.VotingClassifier Sklearn_0.18.1.
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ense mble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting .GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)Automatically created scikit-learn flow.
xgboost.sklearn.XGBClassifier(3)_base_score0.5
xgboost.sklearn.XGBClassifier(3)_colsample_bylevel1
xgboost.sklearn.XGBClassifier(3)_colsample_bytree0.9
xgboost.sklearn.XGBClassifier(3)_gamma0
xgboost.sklearn.XGBClassifier(3)_learning_rate0.1
xgboost.sklearn.XGBClassifier(3)_max_delta_step0
xgboost.sklearn.XGBClassifier(3)_max_depth8
xgboost.sklearn.XGBClassifier(3)_min_child_weight2
xgboost.sklearn.XGBClassifier(3)_missingNone
xgboost.sklearn.XGBClassifier(3)_n_estimators16
xgboost.sklearn.XGBClassifier(3)_nthread1
xgboost.sklearn.XGBClassifier(3)_objectivebinary:logistic
xgboost.sklearn.XGBClassifier(3)_reg_alpha0
xgboost.sklearn.XGBClassifier(3)_reg_lambda1
xgboost.sklearn.XGBClassifier(3)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(3)_seed0
xgboost.sklearn.XGBClassifier(3)_silentTrue
xgboost.sklearn.XGBClassifier(3)_subsample0.8
sklearn.ensemble.forest.ExtraTreesClassifier(5)_bootstrapTrue
sklearn.ensemble.forest.ExtraTreesClassifier(5)_class_weightNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_criterionentropy
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_depthNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_featuressqrt
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_impurity_split1e-07
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_leaf2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_estimators16
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_warm_startFalse
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_depth8
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_max_featuressqrt
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_leaf2
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_estimators16
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.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)_estimatorsExtraTreesClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features='sqrt', max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=16, n_jobs=1, oob_score=False, random_state=None, verbose=0, warm_start=False)
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)_n_jobsXGBClassifier(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0, learning_rate=0.1, max_delta_step=0, max_depth=8, min_child_weight=2, missing=None, n_estimators=16, nthread=1, objective='binary:logistic', reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=0, silent=True, subsample=0.8)
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)_votingsoft
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)_weightsGradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.1, loss='deviance', max_depth=8, max_features='sqrt', max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=16, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)

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
0.8732
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8008
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5981
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1316.0839
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3439
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
0.8014
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8014
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8014
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6926
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3888
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7804
Cross-validation details (10-fold Crossvalidation)