OpenML
1873216

Run 1873216

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)_eta0.00192521162849209
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight43.7186205027551
mlr.classif.xgboost(4)_subsample0.692287244135514
mlr.classif.xgboost(4)_colsample_bytree0.378739743726328
mlr.classif.xgboost(4)_colsample_bylevel0.772909061284736
mlr.classif.xgboost(4)_lambda50.3563533856838
mlr.classif.xgboost(4)_alpha21.8620562784772
mlr.classif.xgboost(4)_nrounds867
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
0.8175
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7388
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4718
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2045.754
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4423
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
0.7482
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7439
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7439
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8939
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4511
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9069
Cross-validation details (10-fold Crossvalidation)