OpenML
1873255

Run 1873255

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)_eta0.00132079075970839
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight102.150494844675
mlr.classif.xgboost(4)_subsample0.587677152012475
mlr.classif.xgboost(4)_colsample_bytree0.302353758132085
mlr.classif.xgboost(4)_colsample_bylevel0.819071312434971
mlr.classif.xgboost(4)_lambda0.0711890361788911
mlr.classif.xgboost(4)_alpha0.0450667740641699
mlr.classif.xgboost(4)_nrounds2693
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
0.8375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7575
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5087
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3469.456
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3989
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
0.7608
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8062
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8506
Cross-validation details (10-fold Crossvalidation)