Run
1857838

Run 1857838

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)_eta0.00114588131321688
mlr.classif.xgboost(4)_max_depth5
mlr.classif.xgboost(4)_min_child_weight1.07449898638882
mlr.classif.xgboost(4)_subsample0.247405171766877
mlr.classif.xgboost(4)_colsample_bytree0.661065824097022
mlr.classif.xgboost(4)_colsample_bylevel0.762275167973712
mlr.classif.xgboost(4)_lambda0.0764168352600126
mlr.classif.xgboost(4)_alpha0.016602080390503
mlr.classif.xgboost(4)_nrounds2920
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
0.9133
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8257
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6467
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5667.4177
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3308
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
0.8298
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8273
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8273
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6685
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3696
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.743
Cross-validation details (10-fold Crossvalidation)