OpenML
1873167

Run 1873167

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)_eta0.0239169442453394
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight21.0077618230731
mlr.classif.xgboost(4)_subsample0.738562739337794
mlr.classif.xgboost(4)_colsample_bytree0.315365097019821
mlr.classif.xgboost(4)_colsample_bylevel0.918514580465853
mlr.classif.xgboost(4)_lambda992.850296213494
mlr.classif.xgboost(4)_alpha229.954860971479
mlr.classif.xgboost(4)_nrounds290
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
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6659
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3355
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1106.6828
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.467
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
0.6994
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6836
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6836
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9439
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4732
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9514
Cross-validation details (10-fold Crossvalidation)