Run
1857788

Run 1857788

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)_eta0.00816766557128757
mlr.classif.xgboost(4)_max_depth12
mlr.classif.xgboost(4)_min_child_weight3.74846130718768
mlr.classif.xgboost(4)_subsample0.557899169041775
mlr.classif.xgboost(4)_colsample_bytree0.94209123798646
mlr.classif.xgboost(4)_colsample_bylevel0.703818081179634
mlr.classif.xgboost(4)_lambda39.1181738919861
mlr.classif.xgboost(4)_alpha0.193463449776198
mlr.classif.xgboost(4)_nrounds162
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
0.9038
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8278
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6511
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3940.439
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3892
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
0.8322
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8295
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8295
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7866
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.814
Cross-validation details (10-fold Crossvalidation)