Run
1857842

Run 1857842

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)_eta0.00211971690904911
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight67.2425230253323
mlr.classif.xgboost(4)_subsample0.803983654105105
mlr.classif.xgboost(4)_colsample_bytree0.60903564048931
mlr.classif.xgboost(4)_colsample_bylevel0.593340754741803
mlr.classif.xgboost(4)_lambda0.00363155613637392
mlr.classif.xgboost(4)_alpha0.0605467054948127
mlr.classif.xgboost(4)_nrounds2484
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
0.9115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8305
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6564
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6186.812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3126
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
0.8327
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8316
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6318
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3616
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.727
Cross-validation details (10-fold Crossvalidation)