Run
1852713

Run 1852713

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_10.45.00_2017
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble. forest.RandomForestClassifier)(1)Automatically created sub-component.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth16
sklearn.ensemble.forest.RandomForestClassifier(16)_max_featuresauto
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators128
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.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_base_estimatorRandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', max_depth=16, max_features='auto', 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=128, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False)
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_bootstrapTrue
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_bootstrap_featuresFalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_max_features1.0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_max_samples1.0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_n_estimators8
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_n_jobs-1
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_oob_scoreFalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(1)_verbose2
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)(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
0.8731
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5981
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1359.7353
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.336
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
0.8009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6769
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3877
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7783
Cross-validation details (10-fold Crossvalidation)