Run
1852759

Run 1852759

Task 145677 (Supervised Classification) Bioresponse Uploaded 16-03-2017 by Joost Visser
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  • NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Thu_Mar_16_15.11.46_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifie r(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ens emble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGr adientBoostingClassifier))(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criterionentropy
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depthNone
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features0.1
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators24
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_criterionfriedman_mse
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_initNone
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(3)_learning_rate0.01
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_estimators1024
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.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier))(1)_steps[('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('votingclassifier', VotingClassifier(estimators=[('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, ...4, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False))], n_jobs=-1, voting='soft', weights=[2, 3, 3]))]
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_estimators[('voting', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, 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=24, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False)), ('weights', GradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.01, 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=1024, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)), ('n_jobs', SecondGradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.03, loss='deviance', max_depth=8, max_features
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_n_jobsSecondGradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.03, loss='deviance', max_depth=8, max_features=0.1, 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=1024, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_votingRandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy', max_depth=None, max_features=0.1, 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=24, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False)
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)(1)_weightsGradientBoostingClassifier(criterion='friedman_mse', init=None, learning_rate=0.01, 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=1024, presort='auto', random_state=None, subsample=1.0, verbose=0, warm_start=False)
__main__.SecondGradientBoostingClassifier(1)_criterionfriedman_mse
__main__.SecondGradientBoostingClassifier(1)_initNone
__main__.SecondGradientBoostingClassifier(1)_learning_rate0.03
__main__.SecondGradientBoostingClassifier(1)_lossdeviance
__main__.SecondGradientBoostingClassifier(1)_max_depth8
__main__.SecondGradientBoostingClassifier(1)_max_features0.1
__main__.SecondGradientBoostingClassifier(1)_max_leaf_nodesNone
__main__.SecondGradientBoostingClassifier(1)_min_impurity_split1e-07
__main__.SecondGradientBoostingClassifier(1)_min_samples_leaf2
__main__.SecondGradientBoostingClassifier(1)_min_samples_split2
__main__.SecondGradientBoostingClassifier(1)_min_weight_fraction_leaf0.0
__main__.SecondGradientBoostingClassifier(1)_n_estimators1024
__main__.SecondGradientBoostingClassifier(1)_presortauto
__main__.SecondGradientBoostingClassifier(1)_random_stateNone
__main__.SecondGradientBoostingClassifier(1)_subsample1.0
__main__.SecondGradientBoostingClassifier(1)_verbose0
__main__.SecondGradientBoostingClassifier(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

0.8841
Per class
Cross-validation details (10-fold Crossvalidation)
0.809
Per class
Cross-validation details (10-fold Crossvalidation)
0.6148
Cross-validation details (10-fold Crossvalidation)
1958.8338
Cross-validation details (10-fold Crossvalidation)
0.2489
Cross-validation details (10-fold Crossvalidation)
0.4964
Cross-validation details (10-fold Crossvalidation)
3751
Per class
Cross-validation details (10-fold Crossvalidation)
0.8092
Per class
Cross-validation details (10-fold Crossvalidation)
0.8094
Cross-validation details (10-fold Crossvalidation)
0.9948
Cross-validation details (10-fold Crossvalidation)
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
0.5014
Cross-validation details (10-fold Crossvalidation)
0.4982
Cross-validation details (10-fold Crossvalidation)
0.3709
Cross-validation details (10-fold Crossvalidation)
0.7444
Cross-validation details (10-fold Crossvalidation)