Run
1857841

Run 1857841

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 27-03-2017 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)_eta0.0111855289469373
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight38.2116947420698
mlr.classif.xgboost(4)_subsample0.969886163179763
mlr.classif.xgboost(4)_colsample_bytree0.975229338509962
mlr.classif.xgboost(4)_colsample_bylevel0.189269315917045
mlr.classif.xgboost(4)_lambda131.567070946644
mlr.classif.xgboost(4)_alpha0.0024621242525581
mlr.classif.xgboost(4)_nrounds3176
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
0.9578
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8881
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7735
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8853.8862
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2221
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
0.8887
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8885
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8885
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.449
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2957
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5945
Cross-validation details (10-fold Crossvalidation)