OpenML
1873228

Run 1873228

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)_boostergblinear
mlr.classif.xgboost(4)_eta0.968132029343638
mlr.classif.xgboost(4)_subsample0.412967412453145
mlr.classif.xgboost(4)_lambda537.566205435149
mlr.classif.xgboost(4)_alpha0.00240637900763571
mlr.classif.xgboost(4)_nrounds2736
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
0.6109
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4081
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
182.7087
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4903
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
0.6964
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5577
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5577
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9911
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4933
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9918
Cross-validation details (10-fold Crossvalidation)