Run
1857843

Run 1857843

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)_eta0.0174724361126541
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight13.2474890095311
mlr.classif.xgboost(4)_subsample0.224611315736547
mlr.classif.xgboost(4)_colsample_bytree0.850377023918554
mlr.classif.xgboost(4)_colsample_bylevel0.981231826357543
mlr.classif.xgboost(4)_lambda0.0517703972411957
mlr.classif.xgboost(4)_alpha8.17646285199554
mlr.classif.xgboost(4)_nrounds2546
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
0.9654
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8998
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7972
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9584.0424
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.196
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
0.9003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9001
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9001
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3963
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.559
Cross-validation details (10-fold Crossvalidation)