Run
1852403

Run 1852403

Task 145677 (Supervised Classification) Bioresponse Uploaded 13-03-2017 by Joost Visser
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  • Mon_Mar_13_13.54.17_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.ensemble.voting_classifier.VotingClassifier Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ense mble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomFores tClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(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_estimators16
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs1
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
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.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,voting=sklearn.ensemble.forest.RandomForestClassifier,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,voting=sklearn.ensemble.forest.RandomForestClassifier,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,voting=sklearn.ensemble.forest.RandomForestClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(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=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,voting=sklearn.ensemble.forest.RandomForestClassifier,n_jobs=xgboost.sklearn.XGBClassifier)(1)_weightsNone

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

0.8775
Per class
Cross-validation details (10-fold Crossvalidation)
0.8024
Per class
Cross-validation details (10-fold Crossvalidation)
0.6015
Cross-validation details (10-fold Crossvalidation)
1485.4853
Cross-validation details (10-fold Crossvalidation)
0.3196
Cross-validation details (10-fold Crossvalidation)
0.4964
Cross-validation details (10-fold Crossvalidation)
3751
Per class
Cross-validation details (10-fold Crossvalidation)
0.8029
Per class
Cross-validation details (10-fold Crossvalidation)
0.803
Cross-validation details (10-fold Crossvalidation)
0.9948
Cross-validation details (10-fold Crossvalidation)
0.803
Per class
Cross-validation details (10-fold Crossvalidation)
0.6437
Cross-validation details (10-fold Crossvalidation)
0.4982
Cross-validation details (10-fold Crossvalidation)
0.3797
Cross-validation details (10-fold Crossvalidation)
0.7621
Cross-validation details (10-fold Crossvalidation)