Run
555349

Run 555349

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Tho Le
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.11.0. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.bagging.BaggingClassifier Sklearn_0.18.dev0. Thu_Apr_14_09.15.03_2016
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.bagging.BaggingClassifier(2)Flow generated by run_task
sklearn.ensemble.bagging.BaggingClassifier(2)_warm_startFalse
sklearn.ensemble.bagging.BaggingClassifier(2)_max_samples1.0
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimatorKNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=1, p=5, weights='uniform')
sklearn.ensemble.bagging.BaggingClassifier(2)_bootstrapTrue
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__algorithmauto
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(2)_random_stateNone
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__p5
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__metricminkowski
sklearn.ensemble.bagging.BaggingClassifier(2)_oob_scoreFalse
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__leaf_size30
sklearn.ensemble.bagging.BaggingClassifier(2)_n_estimators100
sklearn.ensemble.bagging.BaggingClassifier(2)_n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(2)_bootstrap_featuresFalse
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__weightsuniform
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__n_neighbors1
sklearn.ensemble.bagging.BaggingClassifier(2)_max_features1.0
sklearn.ensemble.bagging.BaggingClassifier(2)_base_estimator__metric_paramsNone
sklearn.ensemble.bagging.BaggingClassifier(2)_verbose0

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.954
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13977.2084
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0356
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9772
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.072
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1345
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2705
Cross-validation details (10-fold Crossvalidation)