OpenML
1873258

Run 1873258

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)_eta0.00169891045952208
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight2.3036619740708
mlr.classif.xgboost(4)_subsample0.511134401406162
mlr.classif.xgboost(4)_colsample_bytree0.999782195547596
mlr.classif.xgboost(4)_colsample_bylevel0.670343792298809
mlr.classif.xgboost(4)_lambda13.6460095322326
mlr.classif.xgboost(4)_alpha3.59784380658577
mlr.classif.xgboost(4)_nrounds4434
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
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9073
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9249.9815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2108
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
0.9077
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9075
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9075
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4261
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2776
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5581
Cross-validation details (10-fold Crossvalidation)