Run
1857799

Run 1857799

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)_eta0.00218834379396382
mlr.classif.xgboost(4)_max_depth4
mlr.classif.xgboost(4)_min_child_weight1.25696795410402
mlr.classif.xgboost(4)_subsample0.974437613715418
mlr.classif.xgboost(4)_colsample_bytree0.269497057888657
mlr.classif.xgboost(4)_colsample_bylevel0.928629502886906
mlr.classif.xgboost(4)_lambda4.16394196490815
mlr.classif.xgboost(4)_alpha0.0956114058306617
mlr.classif.xgboost(4)_nrounds1236
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
0.8314
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4868
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2784.6644
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4198
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
0.758
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7516
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7516
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8485
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8761
Cross-validation details (10-fold Crossvalidation)
Total cost