OpenML
1873223

Run 1873223

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 29-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.00875535946658632
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight51.977596051437
mlr.classif.xgboost(4)_subsample0.645758776809089
mlr.classif.xgboost(4)_colsample_bytree0.662921717623249
mlr.classif.xgboost(4)_colsample_bylevel0.652669397182763
mlr.classif.xgboost(4)_lambda0.0220013277131603
mlr.classif.xgboost(4)_alpha0.00105832609400696
mlr.classif.xgboost(4)_nrounds227
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

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
0.888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8071
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4415.3139
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3716
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
0.8121
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8092
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8092
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7511
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3978
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7997
Cross-validation details (10-fold Crossvalidation)