Run
1852906

Run 1852906

Task 145677 (Supervised Classification) Bioresponse Uploaded 17-03-2017 by Joost Visser
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Fri_Mar_17_10.33.07_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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=aucbooster.AUCBoo ster))(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_estimators2048
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=aucbooster.AUCBooster))(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, ...ogistic', reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=0, silent=True, subsample=0.8))], n_jobs=-1, voting='soft', weights=[2, 4, 3]))]
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster)(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=2048, 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', AUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0, learning_rate=0.01, max_delta_step=0, max_depth=8, min_child_weight=2, mi
sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster)(1)_n_jobsAUCBooster(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.9, gamma=0, learning_rate=0.01, max_delta_step=0, max_depth=8, min_child_weight=2, missing=None, n_estimators=1024, 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(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=aucbooster.AUCBooster)(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=2048, 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=aucbooster.AUCBooster)(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)
aucbooster.AUCBooster(1)_base_score0.5
aucbooster.AUCBooster(1)_colsample_bylevel1
aucbooster.AUCBooster(1)_colsample_bytree0.9
aucbooster.AUCBooster(1)_gamma0
aucbooster.AUCBooster(1)_learning_rate0.01
aucbooster.AUCBooster(1)_max_delta_step0
aucbooster.AUCBooster(1)_max_depth8
aucbooster.AUCBooster(1)_min_child_weight2
aucbooster.AUCBooster(1)_missingNone
aucbooster.AUCBooster(1)_n_estimators1024
aucbooster.AUCBooster(1)_nthread1
aucbooster.AUCBooster(1)_objectivebinary:logistic
aucbooster.AUCBooster(1)_reg_alpha0
aucbooster.AUCBooster(1)_reg_lambda1
aucbooster.AUCBooster(1)_scale_pos_weight1
aucbooster.AUCBooster(1)_seed0
aucbooster.AUCBooster(1)_silentTrue
aucbooster.AUCBooster(1)_subsample0.8

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

0.8872
Per class
Cross-validation details (10-fold Crossvalidation)
0.8104
Per class
Cross-validation details (10-fold Crossvalidation)
0.6175
Cross-validation details (10-fold Crossvalidation)
1863.4195
Cross-validation details (10-fold Crossvalidation)
0.2639
Cross-validation details (10-fold Crossvalidation)
0.4964
Cross-validation details (10-fold Crossvalidation)
3751
Per class
Cross-validation details (10-fold Crossvalidation)
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
0.8107
Cross-validation details (10-fold Crossvalidation)
0.9948
Cross-validation details (10-fold Crossvalidation)
0.8107
Per class
Cross-validation details (10-fold Crossvalidation)
0.5315
Cross-validation details (10-fold Crossvalidation)
0.4982
Cross-validation details (10-fold Crossvalidation)
0.3665
Cross-validation details (10-fold Crossvalidation)
0.7356
Cross-validation details (10-fold Crossvalidation)