OpenML
1873253

Run 1873253

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 29-03-2017 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)_eta0.00666097301013756
mlr.classif.xgboost(4)_max_depth10
mlr.classif.xgboost(4)_min_child_weight121.142489629669
mlr.classif.xgboost(4)_subsample0.725618065241724
mlr.classif.xgboost(4)_colsample_bytree0.772475149715319
mlr.classif.xgboost(4)_colsample_bylevel0.323224924970418
mlr.classif.xgboost(4)_lambda0.215187257250497
mlr.classif.xgboost(4)_alpha244.227458993239
mlr.classif.xgboost(4)_nrounds4915
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
0.759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6944
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1439.8917
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4576
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
0.7052
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7017
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7017
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9248
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4667
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9384
Cross-validation details (10-fold Crossvalidation)