OpenML
1873191

Run 1873191

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)_eta0.278387715293556
mlr.classif.xgboost(4)_min_child_weight1.50986690158679
mlr.classif.xgboost(4)_subsample0.819129144400358
mlr.classif.xgboost(4)_colsample_bytree0.24986779759638
mlr.classif.xgboost(4)_colsample_bylevel0.798794327070937
mlr.classif.xgboost(4)_lambda0.0159396073522209
mlr.classif.xgboost(4)_alpha42.4063006867402
mlr.classif.xgboost(4)_nrounds730
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
0.9082
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6499
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6690.4788
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2934
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
0.8281
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8279
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8279
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3564
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7166
Cross-validation details (10-fold Crossvalidation)