OpenML
1873252

Run 1873252

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)_eta0.00110240974423075
mlr.classif.xgboost(4)_max_depth1
mlr.classif.xgboost(4)_min_child_weight31.0356980380671
mlr.classif.xgboost(4)_subsample0.623594611883163
mlr.classif.xgboost(4)_colsample_bytree0.927944768220186
mlr.classif.xgboost(4)_colsample_bylevel0.744521051645279
mlr.classif.xgboost(4)_lambda2.6524654030792
mlr.classif.xgboost(4)_alpha35.9372049006812
mlr.classif.xgboost(4)_nrounds4439
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
0.7419
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6661
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3306
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1376.8499
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4594
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
0.6867
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6791
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6791
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9285
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9417
Cross-validation details (10-fold Crossvalidation)